(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 11.3' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    476983,       8348]
NotebookOptionsPosition[    465293,       8090]
NotebookOutlinePosition[    465749,       8108]
CellTagsIndexPosition[    465706,       8105]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[TextData[{
 "New in: ",
 Cell["11.3", "HistoryData",
  CellTags->"New",ExpressionUUID->"866ce504-9e89-4a26-90d8-782aec45979b"],
 " | Modified in: ",
 Cell[" ", "HistoryData",
  CellTags->"Modified",ExpressionUUID->"785a0750-7e29-43f6-a06e-be47e490bbfb"],
 " | Obsolete in: ",
 Cell[" ", "HistoryData",
  CellTags->"Obsolete",ExpressionUUID->"0325acf9-17c9-4c36-a8ea-c30f7c03a3aa"],
 " | Excised in: ",
 Cell[" ", "HistoryData",
  CellTags->"Excised",ExpressionUUID->"f82e037d-43d3-4164-84f6-06be821e3234"]
}], "History",
 CellChangeTimes->{{3.7371170529815283`*^9, 3.7371170529815807`*^9}},
 CellID->1247902091,ExpressionUUID->"fb7db806-66d8-4faa-b92f-9608c9369c57"],

Cell[CellGroupData[{

Cell["Categorization", "CategorizationSection",
 CellID->1122911449,ExpressionUUID->"7f753c93-c860-4aca-a106-1873468c5134"],

Cell["Tutorial", "Categorization",
 CellLabel->"Entity Type",
 CellID->686433507,ExpressionUUID->"c327696c-626a-4432-b633-334235759ba5"],

Cell["RhinoLink", "Categorization",
 CellLabel->"Paclet Name",
 CellID->605800465,ExpressionUUID->"2e0fdbe5-9684-4a99-bff1-d736003246d4"],

Cell["RhinoLink`", "Categorization",
 CellLabel->"Context",
 CellID->468444828,ExpressionUUID->"54d280cb-357a-445c-8673-d1e528dd0925"],

Cell["\<\
RhinoLink/tutorial/Make a Grasshopper Component that Translates Graphics3D \
Output to Rhino Meshes\
\>", "Categorization",
 CellLabel->"URI",ExpressionUUID->"58105ab9-3e5e-484e-ba1a-0c7ef6d10e77"]
}, Closed]],

Cell[CellGroupData[{

Cell["Keywords", "KeywordsSection",
 CellID->1427428552,ExpressionUUID->"3440d41f-7457-4450-bbae-78973c61d6dd"],

Cell["XXXX", "Keywords",
 CellID->1251852827,ExpressionUUID->"7b48ebae-838d-4152-8bdd-1f113b44d7dd"]
}, Closed]],

Cell[CellGroupData[{

Cell["Details", "DetailsSection",
 CellID->307771771,ExpressionUUID->"52b9ac0c-f778-4f77-ae62-f8389ef85b01"],

Cell["XXXX", "Details",
 CellLabel->"Lead",
 CellID->218895918,ExpressionUUID->"268a746c-f262-4c3b-9c49-0a6fbc0c5325"],

Cell["XXXX", "Details",
 CellLabel->"Developers",
 CellID->350963985,ExpressionUUID->"0a6621ac-5b8b-452e-87c9-6a45ec0cfcc6"],

Cell["XXXX", "Details",
 CellLabel->"Authors",
 CellID->795871300,ExpressionUUID->"65e74b69-3b44-49f4-9bcb-1633b2a50989"],

Cell["XXXX", "Details",
 CellLabel->"Feature Name",
 CellID->199739161,ExpressionUUID->"28a7e074-e884-4d9e-a3fb-8acbf6ab41a2"],

Cell["XXXX", "Details",
 CellLabel->"QA",
 CellID->40625308,ExpressionUUID->"637fd9b8-2d68-4fac-9e10-88bf14f939e9"],

Cell["XXXX", "Details",
 CellLabel->"DA",
 CellID->357121918,ExpressionUUID->"8e789e4d-13cc-4074-9f3e-3676b5fd5466"],

Cell["XXXX", "Details",
 CellLabel->"Docs",
 CellID->35949532,ExpressionUUID->"1617f440-9275-4d01-a393-af16250722c4"],

Cell["XXXX", "Details",
 CellLabel->"Features Page Notes",
 CellID->929432370,ExpressionUUID->"bcccda9e-bb0b-4d57-a91e-ef15eebed9ac"],

Cell["XXXX", "Details",
 CellLabel->"Comments",
 CellID->240026365,ExpressionUUID->"ba912cf4-3b6b-493e-a40b-5ad0a6706552"]
}, Closed]],

Cell[CellGroupData[{

Cell["\<\
Make a Grasshopper Component that Translates Graphics3D Output to Rhino Meshes\
\>", "Title",
 CellID->509267359,ExpressionUUID->"fd21a825-05a6-4c86-a833-5d605819c007"],

Cell[TextData[{
 "With RhinoLink, you can create Grasshopper components that encapsulate \
Wolfram Language code. This tutorial gives examples of simple components that \
translate ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "cfccf76c-788b-42f7-98e1-562ff5e0ab03"],
 " objects to Rhino objects."
}], "Text",
 CellChangeTimes->{{3.737136007698537*^9, 3.7371361109605584`*^9}},
 CellID->1534169418,ExpressionUUID->"68c2cf2b-cb11-4dad-88be-ac0f1f8964c9"],

Cell[CellGroupData[{

Cell["Setup", "Section",
 CellChangeTimes->{{3.736775237598078*^9, 3.736775252403893*^9}, {
  3.737130085844666*^9, 3.7371300862906027`*^9}},
 CellID->1037075497,ExpressionUUID->"a7722b83-aa0c-45d8-b736-b0826374e59f"],

Cell["\<\
To run the code in this tutorial, you must have evaluated WolframConnect in \
Rhino:\
\>", "Text",
 CellChangeTimes->{{3.736776333010248*^9, 3.7367764247248583`*^9}, {
  3.7371273879360523`*^9, 3.7371273891903563`*^9}, {3.737130101143146*^9, 
  3.737130104747658*^9}},
 CellID->1361204418,ExpressionUUID->"150b41bb-910d-44d9-8adc-603ffb1b5500"],

Cell[BoxData[
 RowBox[{"\t", 
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJzsnQVYVEsbxxcRAUlZYAmRFBUQRMXGTmxsr63YXdjdHdcW9XrtFhUxkFQQ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     "], {{0, 219}, {932, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag[
    "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
     Automatic],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSize->Magnification[0.5],
   ImageSizeRaw->{932, 219},
   PlotRange->{{0, 932}, {0, 219}}]}]], "Text",
 CellChangeTimes->{3.7371273812100058`*^9, 3.737130109525482*^9},
 CellID->110807350,ExpressionUUID->"dd37765f-004f-414d-975c-c72d2eb72db7"],

Cell[CellGroupData[{

Cell["\<\
The notebook in which you are working must use the RhinoAttach kernel:\
\>", "Text",
 CellChangeTimes->{{3.736776430172333*^9, 3.736776449196538*^9}, {
  3.737130148770586*^9, 3.737130149002206*^9}},
 CellID->400292277,ExpressionUUID->"e48fb6a3-d2a8-4b03-8ba1-ca3bf30714b4"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJzs3W2MZNl93/dC4hd+6QBBXuUNEQSBXlAJLKbCTKxVHEEIbMCISDteIYDg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    "], {{0, 559}, {1101, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> ColorProfileData[CompressedData["
1:eJyVlwdUU8kagOeWVBJaIAJSQm+CFIEA0msEAamCjZCEJJQQEoKKHV1UcC2o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      "], "RGB", "XYZ"], Interleaving -> True, Magnification -> Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.4],
  ImageSizeRaw->{1101, 559},
  PlotRange->{{0, 1101}, {0, 559}}]], "Input",
 CellChangeTimes->{{3.737130050114478*^9, 3.737130054622306*^9}},
 CellID->1912826041,ExpressionUUID->"12a8618d-bc4e-4c1f-a331-61753d41e3c1"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Example 1: Grasshopper Component With No Parameters", "Section",
 CellChangeTimes->{{3.6209345545324335`*^9, 3.620934555078434*^9}, {
  3.622023059886774*^9, 3.622023063958542*^9}, {3.7318622360700054`*^9, 
  3.731862244020645*^9}, {3.73186504883027*^9, 3.7318650652315598`*^9}, {
  3.73713612233514*^9, 3.7371361247573986`*^9}},
 CellID->2069323749,ExpressionUUID->"79cc379c-27df-4f45-84ec-8c9c4ceac8f9"],

Cell[CellGroupData[{

Cell[TextData[{
 "Evaluate this code to install a new \"Graphics3D\" component in \
Grasshopper. The input to the component will be an expression that returns a ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "17a859c4-fd20-4fd1-be75-82880dd4222e"],
 " object, but in string form. Additional functions are applied to the string \
expression, and the result is evaluated with ",
 Cell[BoxData[
  ButtonBox["ToExpression",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "0ca31254-85ed-44fc-b803-b346b36cc61d"],
 ":"
}], "Text",
 CellChangeTimes->{{3.6224122419387493`*^9, 3.6224122640114965`*^9}, {
   3.7318696221279345`*^9, 3.7318696225545716`*^9}, {3.7324660521128044`*^9, 
   3.732466054723172*^9}, 3.732466342695692*^9, 3.737136882423807*^9, {
   3.7371370461409445`*^9, 3.7371370487355857`*^9}, {3.7371384254900703`*^9, 
   3.7371384500231614`*^9}, {3.7371390964721003`*^9, 3.737139104376281*^9}, {
   3.737139146854904*^9, 3.7371392393412323`*^9}},
 CellID->1923253105,ExpressionUUID->"bf90ea42-2f3a-4a1d-9a46-dcb3bab09db6"],

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"PlotStringToRhinoMesh", "[", "expr_String", "]"}], ":=", 
    "\[IndentingNewLine]", 
    RowBox[{"ToExpression", "[", 
     RowBox[{"\"\<ToRhino@DiscretizeGraphics@\>\"", "<>", "expr"}], "]"}]}], 
   ";"}], "\[IndentingNewLine]"}], "\n", 
 RowBox[{"GHDeploy", "[", 
  RowBox[{
  "\"\<Graphics3D\>\"", ",", " ", "PlotStringToRhinoMesh", ",", " ", 
   "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Expr\>\"", ",", " ", "\"\<E\>\"", ",", 
      " ", "\"\<WL Expr that evaluates to a Graphics3D object\>\"", ",", " ", 
      "Item"}], "}"}], "}"}], ",", " ", "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Mesh\>\"", ",", " ", "\"\<M\>\"", ",", 
      " ", "\"\<Mesh geometry\>\"", ",", " ", "Item"}], "}"}], "}"}], ",", 
   "\[IndentingNewLine]", 
   RowBox[{"Icon", "\[Rule]", 
    RowBox[{"Graphics3D", "[", 
     RowBox[{
      RowBox[{"Sphere", "[", "]"}], ",", 
      RowBox[{"ImageSize", "\[Rule]", 
       RowBox[{"{", 
        RowBox[{"20", ",", "20"}], "}"}]}], ",", 
      RowBox[{"Boxed", "\[Rule]", "False"}]}], "]"}]}]}], 
  "\[IndentingNewLine]", "]"}]}], "Input",
 CellChangeTimes->{{3.6224122419387493`*^9, 3.6224122640114965`*^9}, {
   3.7318696221279345`*^9, 3.7318696225545716`*^9}, {3.7324660521128044`*^9, 
   3.732466054723172*^9}, 3.732466342695692*^9, 3.737136882423807*^9, {
   3.7371370461409445`*^9, 3.7371370487355857`*^9}, {3.7371384254900703`*^9, 
   3.737138438061704*^9}, {3.737207778409661*^9, 3.7372077812219734`*^9}},
 CellLabel->"In[23]:=",
 CellID->526918215,ExpressionUUID->"47ee88c2-618f-4dfd-987a-74a0116a3555"]
}, Open  ]],

Cell[TextData[{
 "If Grasshopper is not yet running, start it by executing Grasshopper in \
Rhino. If Grasshopper is already running, restart Rhino, evaluate \
WolframConnect, and restart Grasshopper to load the new component, which is \
in the Wolfram tab with a sphere icon (",
 Cell[BoxData[
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz
UFAEikHs/8MLfDq97PvVzTs760nS9f7Isp9bav6fn/3/4eb/7/b9f3/o6+sr
xGh8tXfF+6Wlf4/M/n9r6/9XJ/9/u/H/34P/fx++enkav8brKxfebE14s6r7
59HV/24f/v/62v/vz4AO+f//86dfbzeunYtH79bQgIstuU9WTP1wcNOPq6f+
PLv77+Ob37++ff/3982vX9devcKjd1VY0NG6ouvzpj/cvuXV6TPvbt/78OLd
+48/Xn39/+Dzv9NPP+HRO8srYGtB/tGJUy+t2nRr38l75+48uPXm/uPvt178
vfjs396b+PS22fnMj8nYVN+/b8bqY2uPnN577czJJ6cvvT929evuy19XnniL
R2+2qXubW/Ss9MblzQvXz9i5ZcWZbVtub9nzdN2+V4v2vDx4/gUevWDtPjXe
ud1pfVNqVszs2zN71qnpC672LbxeM+3cljX78OsFgjSzkHTH4vyI/tKsJWVl
m0urdhTW79u24QRBjRCwafayNLuMNJfaNO/+zUsPEalrFOACABbxYAY=
     "], {{0, 20}, {
     20, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSizeRaw->{20, 20},
   PlotRange->{{0, 20}, {0, 20}}]],
  CellChangeTimes->{3.7318614101420507`*^9},ExpressionUUID->
  "e5135d16-5c03-4bab-8c65-b57378b0b0dc"],
 ")."
}], "Text",
 CellChangeTimes->{{3.731928904786121*^9, 3.731928928620473*^9}, {
  3.732466018464877*^9, 3.7324660440023365`*^9}, {3.7324660791169224`*^9, 
  3.7324660825239625`*^9}},
 CellID->1011844172,ExpressionUUID->"2963d475-9300-4014-b1e5-b5e28454be15"],

Cell[CellGroupData[{

Cell["Drag the \"Graphics3D\" component to the canvas:", "Text",
 CellChangeTimes->{{3.7318617923192053`*^9, 3.7318618175415463`*^9}, 
   3.731861907200734*^9, 3.7371369165174294`*^9, {3.7371389148268285`*^9, 
   3.737138917837532*^9}},
 CellID->141998211,ExpressionUUID->"3fd43706-b4a5-425c-93c1-9ee29daf1c40"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQdcFNfah8n9kmiKiblRg70rMbbYCyqiIAiigAooIFUQG4oKahRjib0j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    "], {{0, 351}, {251, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag[
   "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
    Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.5],
  ImageSizeRaw->{251, 351},
  PlotRange->{{0, 251}, {0, 351}}]], "Output",
 CellChangeTimes->{{3.737138972348401*^9, 3.7371390546334815`*^9}},
 CellID->14653557,ExpressionUUID->"bc17f0de-d025-4d07-bff8-846c8b713017"]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "Connect a panel to the \[OpenCurlyDoubleQuote]E\[CloseCurlyDoubleQuote] \
input of the component and enter an expression that evaluates to a ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "72509873-2aaf-48fd-a3cf-b450595b7390"],
 " object into the panel, for example:"
}], "Text",
 CellChangeTimes->{{3.6224129533151073`*^9, 3.6224129887576027`*^9}, {
   3.6224138325534983`*^9, 3.622413858214512*^9}, {3.7318619697687283`*^9, 
   3.731861974022107*^9}, {3.7324678634026465`*^9, 3.732467864683464*^9}, {
   3.737136929659493*^9, 3.7371369366267257`*^9}, 3.737139565728388*^9},
 CellID->1278239429,ExpressionUUID->"6f6a3690-af6a-41d8-b3a4-a5782ef76ae2"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQmUVNW5qHl57wlZd2Ul66r3isnTyzUhioIYAVsBmcdmamaQoRsaaLoZ
mqFpQJqpkRm6S0YDqAFRUVRkEBUUZBBRMYpAnGKQUYyKJjeSdDVd76d3eudQ
darqVHVV7VPw/etbrO7i9Nn7DP//nX2GOjUGje469EdVqlQZV03+6ZqR32zs
2IxJ3X4mv/QYNW74sFFDMtuNGj9k2JCxKYP+t3w48H9VqbJApr/085H33wIw
yI6XNwnGuwFw1UIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADM
Qg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQ
gwBgC8UBwCzkIADYQnEAMAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQg
ANhCcQAwCzkIALZQHADMQg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgA
tlAcAMxCDgKALRQHALOQgwBgC8UBwCzkIADYQnEAMAs5CAC2UBwAzEIOAoAt
FAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADMQg4CgC0UBwCzkIMAYAvF
AcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQgwBgC8UBwCzkIADYQnEA
MAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADM
Qg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQ
gwBgC8UBwCzkIADYQnEAMAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQg
ANhCcQAwCzkIALZQHADMQg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgA
tlAcAMxCDgKALRQHALOQgwBgC8UBwCzkIADYQnEAMAs5CAC2UBwAzEIOAoAt
FAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADMQg4CgC0UBwCzkIMAYAvF
AcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQgwBgC8UBwCzkIADYQnEA
MAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADM
Qg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQ
gwBgC8UBwCzkIADYQnEAMAs5CHHltVe3eIrmT5k8AZKO0aOyBePdgPghufny
1ueNVwkIBoKGePDe23vz88bUq3f3LQRBuDtuu+3WnOxhB/e/ZrxugB8IGmLO
lk0bmjRprHI/JaVO1rDOnuIRAOA2Ro/q0aTJb1Sq1qlTZ+1jvzVePSJl185t
K5YVF84ouCKZkDdGMN4NK7K2d2x/0fh2h+iQsfN996ZIvrdufc97h54tu/gB
ALiZc1/uzkhPVUPp117dYryGOOH37+ybVjCpWbOmvyFMxD33NBg/LvftN183
vieYQp3cSDpysodKpndIbXjhh7fLLr5fVnqwrHSzr3Q5ALiNMu+zZaX7L+Xp
xfcn5D0gmduubWvjNSQsv3t0ZZs2rZUpWrVqNWbMmOVEomLixImpqalq5Tds
eN/Shxca3x/AObVr3yFpfvTIC2UXf1/mXecryfCV9AUAtzLAV7pMsvXcl7tS
UmpL8j69/lHjZSQE27dubNGiudghLS3t/fffLyVMxLlz53JycmQrNGjQ4Jmn
Hje+VyQe40P4KNiyaYMkeJMmvym7eKisdM+l3DdffwAgDGWlmyRns4Z1kvz1
FM03XklCMK1gknihd+/eP/zwg5KF1+v9R0Lik08+WbVq1ZREhbR1+PDhxCya
8/CWh1rzBQUFsi0e6Nvb+F4BTlg4b5Yk+IS8Pr6Lh3ylG4yXHQBwROkKydkV
yydJ/k6ZPMF4JQlBo0aNRArHjh0TQYgvfoh/fPvtt+PHj//P//zPKiaiWrVq
mZmZZ8+eTcCSOg9Z82oc3bJlS9kcu3ZuM75jQFgktS8dgReP8V1811e6xHzZ
AQAnSLZefNdTPNHlgt62+VnRQWpqqhrH/S3+ceDAgZo1aypXXn/99e3atctL
VKSlpf3iF79QTf/0pz/dtGlTApbXeZSUlMgmyM3NlS2yYlmx8X0DwlIh6Fzf
xXd8pQ+bLzsA4ATJ1ovveIrzXS7oh4vmiw4KCgpEDSKIeDvom2++ufnmm8WP
v/zlL1977bW/mIhPP/20efPmaih97NixeC+y8/j73/8uW2H16tWyRQpnFBjf
NyAsFkEfRNAAScMlQR/0FE9wuaBFBKKD5cuXixpEEPF20Lhx48SMtWrVOnfu
3Pfff//tt9+eOXPms0TFqVOn5Ajh+/Lo1auX9KRx48bxXmTnoQQt2wJBJwsV
gh5dVvpWmddjvuwAgAMkWyVnk0vQFy5c+Guc46c//alo8Y033hA1f/755/v2
7XsjsbFnz54//OEP0vpHH3103XXXSWeOHj0a76V2GLL+EXRyUSHoUWWlb5Z5
i42XHQBwgmSr5KynOC9ZBF1aWhpvQe/fv1+E+POf//zrr78+e/bsa6+9tsNQ
HD9+XPrQunVr6c/KlSvjutTOQ9a/bIUVK1Yg6GShQtAjL337gbfIeNkBACdI
tkrOeorHJ4ugZez2ww8/fB/PKCoqEiF27979q6+++vjjj7eZi8OHD0sfJk+e
LP2ZOHFiXJfaecj6ZwSdXFgEvQ9BAyQL5YLeh6CtISoUIebm5p47d+7QoUOb
zIW0Ln0YP348gobKoAXtu7jXV4qgAZIEydaLez3F4xC0DiXo0aNHnzlz5sCB
AxvMhbQufVB3rCFoiJoKQY+49DVipYvNlx0AcELpYsnZZBH0smXL1DNW5+MZ
+fn5IsRRo0adOnVq375968yFtC59GDt2rPRHehXXpXYefyt/FBpBJxEWQb+B
oAGShkuCfsNTPDaJBP0///M/38YzlKBHjBhx4sSJXbt2rTEX0rr0YcyYMUrQ
cV1q5yHrH0EnFxWCzikr3eUrXWS+7ACAE0oXSc56iscgaB1K0Dk5OV988cXO
nTtXmAtpXfqQm5uLoKEyWAT9uq90ofmyAwBOKF0oOZssgl66dOnf//737777
7st4hropKzMz8+jRo2vXrs2NJKZOnfrEE0+8/vrrhyti69atq1evls8jmo8K
aV36kJ2dLf2RXsV1qZ2HrH/ZCnKwhKCThQpBZ/suImiA5EGy9WLSCHrJkiU/
/PDDN998czKeoU4p9+/f/+233164cGEnZ5GVlXXgwAFf8Hj++ecHDhzocG4q
pHXpw5AhQ6Q/0qu4LrXzkPUvW0EOlhB0smAR9E6fd4H5sgMATpBsvbjTU5yL
oHVoQR88eHDBggUdHURhYWEINVtDPO5khiqkdemDjOURNFSGCkEP913cgaAB
koZLgt7hKR6NoHUoQffr18+hoAcMGODQzpE6GkFDTLAI+lWfd775sgMATpBs
vfhqsgj64YcfFjV8/fXXJ+IZWtBvvfXW/Pnzw2r0zTfftPr39OnTa9euHVMR
K1euPHr0qN8EDgUtrUsftKDjutTOQ9Y/gk4uKgSd5bv4ss87z3zZAQAnSLZe
fNlTPCpZBP23v/0tMYJ+4IEHxLzz5s0L7VC/4fPzzz9vO9nkyZOtkxUWFjoR
tLQufRg8eLDbBC1bYcmSJQg6WfinoIuGlZVuLyuZa77sAIADJFslZz3FIxG0
Dqugw46grVefX3311RBTymz1lDKmdiJoad3lgs4alrlxw1rjuweExiLolxA0
QLJQLuiXELQ1tKD3798/d+7cDiFj7dq1Wrsymg49sRhcTxx6ShXSuvRh0KBB
rhV09erVL73568bq2VmZhw7uMb6fgC0Vp7hF0FvLSuYYLzsA4ATJVslZT/EI
BK1DCbpv37779u0LK2h9Afr06dNhhWsdbufm5joRtPTBiaC3bdsmMy8uLg69
aGvWrJHJZOLKrJ9AQauoUePm9WtXG99VIJCKEfTQstItZSWz411VBk+/JW3M
/1N8/FnHhFWzv37X88XX7lety7/yc0xmq5dF5png+hzblTN+0W0uXAS11WT1
vnu4bUxmuOutFrKkS5+sF2Ia1aJMaXzxQyPZKjnrKc5JIkH/+c9//iKeob65
q2/fvnv37nUuaPkhrHBlzpEKWvqQkZGh3q4Vos+iXWXJd955J9g08l9qGpm4
MutH1r+toFXkjso2vreAHxWCHlJWutnnjXIELRVPq0qzbvN9UmD9phQpS7EV
qvymSkyqrpTTsLaVYvurzj956Ld3yg/SqHRMfpVC7dexwEWQPzlzJi3EnGUp
ZG4yz0QebMQcZWdXLYJsKemSOpSq/K4iiybLqPbJRhnXhxa07LQymTQaetOb
xysj6M0I2hpJLeihQ4cGm0b+K+aCvuuuu6oExGOrlxvfYcCKRdAv+rxRjqCl
lKmapuQrqKFKiCoXK0FLsQ1db1X3/LohRVg6YFWSfKIPGzRK5SHMFaulMIss
o9uWQraXPrqr/EqWWekdQDQddodRk7ltnfjjlRH0i57i7GQR9F//+tevvvqq
Mn4JG0rQffr02bNnz5w5cwwKWlqXPjgXdK9eveTfY8eOBU4gH8p/1a9fv/KC
lvUvW0G2hWyRlStXXrhwQb2gU8d11117YO8O4/sMaCoEnVlWusnnfSjqcqHs
5vehCC7YidNECtoWGUkFdiBwEdRyBZ4KiO1SmMXlSxHb7l1Bgn5IcjZZBO3x
eEQNiRlB9+7de/fu3Q899FBqyLA+BP1muLA+ED169OjQc5aQ1qUP6enpDgW9
detW+be4uDjYBKtXr47JCNoqaLU4Bw4cqFatmnZ0l06pxvcZ0FgE/XzMBW37
ocOqK/+rTksGO9UsH8p/yehP8DsvHba3arwfqF3b3ko3/M6HO1kKfbVd60B1
2GEP/dAXEawHPOpqaeWvgCdsKWLevSi4sgT9vKd4eBIJOjEjaBH0rl27Zs+e
7VzQEYUTQUvr0oeBAwc6FLT8UKM8AieQD9u0aaMMHtsRtF4iGe9rQVeteg2D
aPdQIejBZaXP+byzoi4Xti7e9VYLGahGUXWl+IsarCfMZT5+15rV5WxlT+t5
6RBnpJXmROgyN9vJbAUt85Q/iXQpZP7SivRNH1qoK6HBmg6NzESJ2Pq38qG6
RFvJy8cJW4qYdy8KriBBz5Kc9RRnJZGgEzaCfv311yMaQcdc0NK69CEiQasx
8oYNG6z/qz+MiaBtR9AqbrjhBu1oT9E847sNKCoesxrsuyiCLoy6XAQKWkq6
lPFgd8OGqLq2J8ZltGt7qTSiU9zSJXVxPFjHggk6uvMA0mfrcYW6FyvY2XKH
a9jvz2WelRzJBl6Oj+tSRIEpQct+mLBljAbJ1otJJuhz584dj2e4VtAh+jxz
5kyZRn44evSo/CCDZev/1q9fX0bQ8sOWLVvkf2XiyqwfWf/BBN2lSxdu53Yh
FYIe5CvdWHlB6/PMUtLFpyGeVQlRdYPds6Sek/L7MLpr0OIj2w7EVtA+i91C
nCd3jp9c5HijkjcbS8dkbYc9Qx6rpdDn5G1vmA/2V0YErfYQFz569i8kW0s3
JpGg//KXv3z11VeV8UvYUILu1avXa6+9NmvWrNAOHTp06Oioolu3bmEFLa1L
HwYMGOBc0PrnXbt2qV+VlFetWnU8RoKW9S9bwVbQ06dP14LOzso0vtuAwiLo
Z3zemVGXi8BboENPH6LqBrOhTC/V1e/DqG8SEyMEuibmglaoC+WVr8l+g+jK
S1/ffu9kRFz5pZDmrHuIwwsTRgQtu0ciT+NHg2Rr6TOe4mFJJOjEjKBF0Dt3
7iwsLGxvLqR16UOkgn777bfV81bqV3Vrt4ysj8duBB1M0Op+NgTtNioEneEr
3eDzzoi6XISwWKRVN9ioMLaCVtejA5sOnFKN+yJdCoWITw0PYzKC9ln8Uvnh
s8GliG33oluBYSdz/TXoGZKznuKhSSToxIyge/bsmaSCllCPPIuUlazz8vLU
5/EeQd96661a0AvmFhrfbUBRcZNYRpn3qbKS6VGXixgKOtg3fdl+B1TUgrY9
rWq7CDJlsO9CifQadOXtpgfRoeemTyY7sUwMl0I1GluJhxW0/pIZJ1eNYyho
fUN7Iq/IayRbJWc9RUOSSNCJGUGLoHfs2GFc0NKH/v37RypoJeKioiJRs/wg
mrZ+HqcR9Pbt261PQ7/y0gvGdxsQtrywISO9f7mg08u8T7pE0DIqDLwMrb4D
KrASqu8S0Z/LD1J+/W4d9zOsspuTx6zCejDEUvh5TSG/2i5FRCgDhh4+y0GO
TODwjHSslkJdtxVi9U2qYbun9wHVrpPzCTEUtGo08acUFOWCflIJWrLYnW8m
kgqTNSwz8YJ+9dVXxWWVlGx+fv6RI0eUwl555ZVRo0Y5/1tpXfoQhaAl2rRp
U6NGDXWuXn8YP0GfP3/eegv3rb+uaXy3gfy83Bo1bpbN8e///u/lp7hF0OvL
SqZFVyuUE603idneHqZHHIJMLH+if/UrreqpIj2B+mZOW6/Jh0pGanp1Y4/f
pUP5VU+jmg5sUY3CrIugfg19j3Qwd6gvF1Vz83uCWHmzMhc31bFQaC9EJMpY
LYVM4/yoIDTW28msu4qtW9U0IVaI9XtcVQ/DPj8eVtBqKxj8RlDJVslZT1Gm
5K9kcRWXvZlIV5jq1asn+C7uHj16vPzyyzNmzIjUwm+++aa2sPx54P3bDuep
/lz60K9fvygEvWrVKuVKkbL+ME53ccvY2WrnqlWvceeR3tWDHNPeWecOvUX+
KeiigWXedVELOvDmH1uZ6i/iDiT0bMMOOfWUoSdT09hWVPVVn06WwkowtVnn
Zn2C2PmcQy9saC+IWJVVHc4w2Dn8SJdCHSDF5NJtsNvJApdaPSYW+j43240b
4s409Uxf6IMoOVCRRqO7vBITygW9zlM0WAtahfE3E/lVmOgELZKaGRDqfuYQ
Eamgly9fbmvhbt26BXvGSpwbb0FLyAi6fv361k9iLui0tLSUlJQqlwcPWJll
1swCOUaybpGKEfRAX+k6n3eaqWqTpBj5ksyw17KVO5x3TAm9ko8UKVE6PyqI
FarzMRSlevQs7IKooxEjV5//iWRr6TpPsb+gzVbawAqjBa1Ocf/JWbRp00b+
dsblIYIO/VejR49WgpaB4fTp00M7VOwZzMK24lbx3HPPORG0tC59eOCBB6Q/
0qsQfd68ebMsmt+HTz31lHxu/eTgwYMymd+HkYb1FHfg26waNUwxbqirGTmy
9csdiZo1a5aPoAeUeX/n8041Vm2SE332NWEPzCoPhj6tqs7fRjRbmWElHyl6
N3ZvKIsIdV49hqJUg/ewk5kdPl/CO1Vy1lM0SPK3Vq1aVQIi8W8msq0wtWvX
jlrQkQpICbp79+4vvfRS2BF0CAufPn1a/bBgwQKlcn0aXMLhCFr64ETQiYxg
gpatxtjZONbzThLp6ennz5+XxCkXdP8y7+MIOlKcPMYbE/R3cetr/SHsIJ1J
/MhOWjTy1HDgq8oSg/mHsC4J+nElaMliN7yZyLbCrFy5UnRQXFwsavjyyy8d
qqSSgt62bdu0adPahYz9+/dr544cOVI+EZ9qNUts3LhRT5yfn68/l8lCz1lC
Wpc+9O3b11WClvUfKGjj10TgSPk9G9bc2b59u9rZLIJ+zOctMFxzIAiB12Td
/rZiiDfeAslZT1GGErRKZ4NvJgpWYRIv6G7dukUk6Mcff1x/aL03TFlbR7DP
k1TQnTqmyibb8sIG424C4ec3/uuERlZWlt7ZKgTdr8z7qM87xXzZAQAneKdI
zvoJ2nf5m4n+7//9P4vmz1q+ZFECuNZyHdxaYYwIeuvWrc4FvWzZMv2hjI5j
JWjpQ18XC7pwRoFxK4Fi44a11oPbCxcu+Au6uJ+vdA2CBkgaJFtL13iK0/0E
7bv8zUSNGqb06tk13rRp3SJYhdGC/v777xMm6C1btoQVtAycAwUdQsSRClr6
0KdPH7cJWraC7C0I2lUsmFuoc6du3brWXLYIerXP+6D5sgMATpBsLV1tK2jr
m4nq1Lk9AYK+N6VBsApTGUH73cV98ODB0H9lFfTUqVNDO1SfzT5y5EhYEWdm
ZurPu3btGlbQ0jqCBodMfXCC7dkni6Af8JWu8nknmy87AOAE72TJWU/xwEBB
W99MdPvttyVA0PXuvitYhdGC/u67786ePetQJZURtAh08+bNYQUtkzkfFMso
W015+vTpsHZWgpY+uE3Qsv5lKyBotzFrZoFOn6ZNmwYR9COXUt542QEAJ3hF
0I94igcECtr6ZqLECLpBg7uDVRgl6KKiIiXoz52FErTDiXUoQaelpW3atKmg
oMCJSZ2EVeV+58ODhbQufejdu7cSdKQLEqdA0O5k/drVOn2qVatmJ+i+vtKV
Pu8k82UHAJwg2Vq60lbQ1jcT3ZvSIAGCbtmiabAKYxX0mTNnHKqkkoJ+4YUX
pkyZEitBRxHSuvRBvS/SPYKW9Y+gXcihg3t+8pOf6AxasWKFv6CL+pR5l5eV
TDRfdlzMmTNpS5+s5853BO96q0UMvzdDljHsOyCkubDf9f3u4bbqdWMCz4XF
FslWyVlPUX8/Qfu9mahwxoMJuIXbs3jej3/8Y9sKowV9/vz5xIygu3Tp8vzz
z4si25oLaV364DZBy/qXrVBcXIyg3UbPHl2th7iypS4fQYugl5WV5BsvO65F
fYXXQ7+901WCFi+LSfWbICo5N1k09S4M9W6R0BOrd0iFPirQgjbyJWNXNpKt
krOeon5WQRt8M1GwCqOvQUvfEjOCVoJ+8MEHDQpaWnehoGX9I2h3snvntuuu
u1Zn0M9+9rPHHnvMMoLuXeZdiqBDICr0e4ulceSYQSypRqbqq8YqOUOZmzr8
cPjyUFknDhtF0DGnXNBLrYI2+2aiYBXGyAj6ueeei4mg09LSHn/88f3lMX/+
/IgELX3o2bOnqwTNCNrNeIrmVbk86tat27p163JB9yrzLikrmWC87LiWmBgw
WbrnUNAyGYI2hWSr5Kyn6AHJ3/bt27vhzUS2FaZjx45a0JGOoGcEROi/0oLe
uHHj5MmTI3LxyJEjlYjlb7WdrV/B7St/IMvh3KR1mY/bBM0I2uVYT0OpqHjd
pAj6YZ8XQQclhAHV9V9BRqD6Q3121/qhke5FAYJOArwi6IeVoAPfZmXqzUSB
FUa9zUoE/e2334og/ugsHnnkkel2EfqvRo0aFbWg9YNU0or6RGbiCwiZLFJB
S68cLnW8Q9a/bAUE7WZmzSyw3jBmEbQHQYcgtKDVCwr9BK1e+4igfQg6HlwS
tMdT1NdP0MbfTORXYayCPn36dFwFpATdqVOnZ555ZtKkSW0iCf3Nn3369JFf
xfKBdpY4deqUk7lJ69KHHj16uErQsv4RtPvZvXNb/Xq/uVzQPcu8RT5vnvmy
41ZCG1C9RDjwT8LeC52Y7kWKc0E7vC6PoGOPN09y1lPUxypol7yZyFphohtB
Rxda0Bs2bJg4cWJ0gla/Tps2TUv52WefzcvL07+Ku8POTVqXPnTv3t1VgmYE
nUS88tILUx+c0KZ1ywpBL0bQwVD3IctIOcQ0ImjrY0fqru/orKQfTQok2MNK
RgQtyyiCHjz9lrB3tiPo2HNJ0IuVoCWLXfhmIlVhOnVMtV6DjquAtKCffvrp
qAUtLrb+qo388ssvq19HjBjhRNDSBxcKmmvQycWUyRPKBd2jzLvI5x1vvuy4
EieC9htEV8aYCBrC4x0vOesp6i35K1lsvJIEQ0SQYEF37Njxqaeeys/Pj0jQ
6p5zfTOY/lm8rCZYunSpc0FL69KHbt26IWioDFrQvtKFPu8482XHrTgxoB5E
V2b4HL/uOYdT3EmAZGvpQk9x0ghaXYP+LJ5RGUGLdm0vOmsdRzSC9hN0XJfa
eXANOumoEHR3n3cBgg6BEwPqQXToifUN3jH8zhMn3XN+Vzk3iSUBkq3eBZ6i
Xghahxb0k08+OWHChIgE3eby09oq5BP9v/pDJ7OS1qUPCBoqiUXQ833esebL
jltxOEQVQauv2Arho/GLbpMJBBloJ6x7Z86kqUadfCMogk4CJFu98xG0NZSg
O3TosH79elFk6wijc+fO+/bt0yKWn+UT9V/6nrEPP/zQyaykdelD165dETRU
hgpBd/N55/m8Y8yXHbfiUNAyiBYZhZ7SuSid9EohLcqxgf41UP3qsCH0UYF0
Xv25OoTQcws20kfQJpFs9c7zFPVE0Dq0oJ944om8vLxIBa2id+/eOTk5gwYN
sn4ov+aUh/yvk5lI69IHBA2VpELQXctK5pSV5JovO27F4Vd9hr36LLKTCUSm
MRk+B7uXLHDm6uu1Q5/f1oL2I5ig+apPg0i2Ss56inokhaAXL16cLIKOSSBo
iAkWQc9G0CFQ5pWhZegLx2EH2uqG8LDvgYo56qgghjOMaEEQdMwpF/TsJBL0
N998kxhBp6amrlu3bvz48REpVUbH+yoicJi8dOlS9V/z5s1zMjdpXfqQlpbm
NkHLVigqKkLQyUKFoNPKSmaVlYw2XnbcjJPXTYoEQ5tInYtOcM/VNeXYHhVE
9LpJBB1zJFslZz1F3ZNI0KdOnfo0njFy5Egl6LVr10YqaP2YlVjYVrj62rRD
QUsflKClV3Fdauch6x9BJxcWQReWlYwyXnaSEf1d3PrSbYgnpkVqiX9hpRxa
JOYbR/3gfdDxQ7JVctZT1A1B61CCbt++/e9+97tx48a1iiT07WFLliyxnUAL
ulevXmHnJq1LH7p06YKgoTJoQfu8hT4vI+ho0ILWhP5KE4AYINnqTSZBf/31
1wkTtAyHx44dGydBZ2dnh52btC596Ny5s9sELVsBQScRFYLuUlYyw+dlBA2Q
JHhlBD3DU9QVQeuIiaAfffTRwP/t1KkTgobEUyHozmUl033ekebLDgA4wTtS
chZBW0MJul27diLZMWPGRCRo+ROtYNGx3//OnTtX/29GRkbYuUnrMkMEDZXE
IuhpCBogabgk6GmeorSkEPSiRYv+/Oc/nzx58pN4hhb0mjVrIhX01KlTtYI/
/PBD64Vm6x1iEk7mJq1LH0T0StBxXWrnIetftoIcLCHoZKFC0J3KSgp83hHm
yw4AOME7QnLWU9QFQetQgm7btu3q1atzc3NbRhIdO3b0+55P0fS+fftk1Gn9
8JlnnnEyN2ld+oCgoZJoQfu8Iugc82UHAJwg2epF0JeFFvSqVasiFbTEuHHj
fOGiZ8+eDgUtfRDpI2ioDBZBT0HQAEnDJUFPQdDWsAp69OjRkQpaoqCgIISd
09PTHc5HWkfQUHkqBN3R553sK8k2X3YAwBHZPu9kT1HnJBL0iRMn4iogJeg2
bdo88sgjo0aNikLQEsOHD3/ppZf81PzMM884HDurkNalDx06dHCVoGX9I+jk
okLQHXzeSQgaIHkQQU/yFHVKFkF/9dVXX3zxRVwFpAW9cuXK6EbQfqZWEcXf
SuvSB7cJWta/bAUEnURYBD3RVzLcdM0BAIcMl5xNFkEvXLjw3LlzIoiP4xkj
RowQIbZu3XrFihWixRbmQlqXPqSmpkp/pFdxXWrnIetftoIcLCHoZKFC0Kll
JRPK/pFluuYAgCMkWyVnPUUdk0jQx48fj6uAtKCXL19uXNDSB7cJWtY/gk4u
LILOK/vHMONlBwCcINkqOesp6pBEgk7MCLpVq1bLli2Tn0MItEOHDhs2bNi7
d+/DDz+sPlmzZs1eZzFw4MCwgpbWpQ/t27d3laAZQScdFYJuX1YyHkEDJAvl
gh6fXIJOzAjaiaDFzvoGsDlz5sgnYt6wz1ipGD58eJIK2jqCzhqWuXHDWuO7
B4SmQtDtykrGlv1jqPGyAwBOkGyVnPUUpSaLoL/88suEjaCXLl0aWtBWHatB
dMwFLX1wm6Bl/ctWUIKuXr269O3nN1bPzso8dHCP8f0EbLEK2leCoAGSheQT
9J/+9KeP4hlK0C1btlyyZEloQY8dO1YLt0ePHvEQtPShXbt2StAh+vzcc88V
2EU81o+sfz9Bq6hR4+b1a1cb31UgEIugcxE0QPIggs71FLVPIkEfP348Ht7R
oQUtg+Ls7OzmIUO8nJWVlZqaqn4dMGBAlrPQfxIipHXpgxNBi4tlmkGDBiVA
0LL+bQWtIndUtvG9BfyoEHTbspLRvpIhpmsOADhkiOSsHFonhaAXLFhw9uzZ
xIygZQBbXFws49ywGo1fSOvSh7Zt2zoUtIyj47pmVMj6l60gB0uyRe66664q
AfHY6uXGdxiwUiHoNmUlo3wlmaZrDgA4JFNyNrkEnZgRNIIOFrL+taBXrlx5
4cKFiRMnWgV93XXXHti7w/g+AxqLoEcgaIDkQQQ9wlPUNikEnchT3OLHoqKi
rKysqPUa+nS3k1PcMpn0oU2bNm4TtD7FLYJWl9QPHDhQrVo17egunVKN7zOg
0YIuf9fkYNM1BwAcMlhyFkFbQwt68eLFUYygxbzWx6+ChRP1S+vSh6QQtK/8
QTMt6KpVr2EQ7R4qBN26/FVWg0zXHABwyCDJWTm0TgpB62vQf4hn5OTkiGKa
NWsmDho2bFizSKJ9+/aHDx92che3kznLNNKH1q1bS3+kVyH6rAS9cePGuK4Z
FdZr0FZBS9xwww3a0Z6iecZ3G1D8S9CX3pSBoAGSBcnWbARtDS1ocVCkgp49
e7bDx6wcClr64FzQfndxx8nXIQTdpUsXbud2IdOnTpYEnzWzma8ki1PcAMlD
huTsiqUI+l9hFfTQoUMjEvS2bduswpLRdLCv+uzfv3/YuUnrySXo6dOna0Fn
Z2Ua321A8fT6xyTBO6TWufTNgf/gMSuAZGGQ5GzBg/dL/s6eNc14JQmGEUFL
c5EK2vpFJU4UHFbQ0odWrVolyynu9PR0BO1C3nt7ryR4rVq/+u7PGSLosn8M
MF12ACAs/cuzdUjrVrUlf7ds2mC8kgRDC/rMmTOJEXTTpk3nz58f9Qja4/FU
0s5K0NIHFwpatoKtoG+99VYt6AVzC43vNqB5oE8vyfEJ4xuW/SNT8JWIqQcC
gDvxlaSrVH101aXz2/Xq3S2H2cbLSDCsgv7888+PxTO0oOfNmzdkyJCmkcTk
yZOVqoqLiyP6Q9uQ1qUPLVu2VIIO0ecpU6bINM8++2xc14wKWf+2gt6+fbv1
aehXXnrB+G4Dmtde3XLbbbdKpi+Y2+zCX8TOgwHA5Tzxu7a1av1K0nbtY781
XkNCoAV9+vTpxAi6SZMmc+bMyczMjNSqe/bsEVudPHmyXbt2lRS0tK5ekuU2
QctWkG1hFfT58+ett3Df+uuaxvcZ8GPhvFm3lEeT+28veLCRp6gFALiQFUtb
LpjXTJ3ZlhgzeoTx6hEaJej58+efOnXqj3/8Y1wFpAR9//33z549e/DgwSEE
2q9fv6EBkZubq560kn9lQB04gQon+pbWpQ9uE7Ssf9kKVkHL2Nlq56pVr+Ed
lO7kuWeeaNKk8S0EQSRD1Kt3t8vHzgqroBMzghZBP/TQQ6EFrQbL0YU42omg
pQ/Nmzd3KOiMjIwpl8cbb7wR8/Uj618LOi0tLSUlpcrlwQNWLufp9Y/NnjVt
yuQJkIyMHpUtGO8GxBvJUzdfd7ZiZAQtchw0aJBBQUvrDgUtY+cpdhEPQVtH
0IFvs2rUMMX43gJwBbPj5U2C8W4AaBIv6MaNGxcWFooimwSPygh6yJAhIeas
QlqXPjRr1iysoBMZwQRdteo1jJ0B4g2CBrehBD1v3ryTJ09+9tlnR+MZ2dnZ
WtAZGRkhBLpq1ao90Ua/fv3CClpa14KWXsV1qZ2HrH/ZCnKwZBV0jRo3r1+7
2vh+AnDFg6DBbRgR9MyZM0MLOt4hrUsf3CzoTh1T8/Nyt7zg3ifoAa4wEDS4
DaugP/3007gKSAm6UaNG06dPT09PNyhoaV360LRpU1cJWta/FrRsF+P7BsBV
BYIGt6EFfeLEicSMoBs2bChyHDhwYGUM269fvyHl0bVr1yj+XFp3oaBl/ctW
uGoFrcojgCnWr10lGO8GgGZC3hgt6MSMoEXQ06ZNi07QouOnn3468MYw+TAi
U0vr0gf5wVWClvWvBS3bxfi+AXBVgaDBbfgJ+kg8Qwu6oKBgwIAB90cYkyZN
Cn3/tkzgcFbSuvRBflCCjutSO4+rXNDGh/BwlcN+CG7Deoo7MYK+7777ohB0
Wlqaw2esrgxBX4WnuAHMgqDBbRgR9JQpU/r37x+RoIuKivxcrB6qCvzQydyk
dekDggYADYIGt2FE0A8++GCkgra6eNasWdb/klGz1dEy1nYiaOlD48aNETQA
KBA0uI3EC/ree+8VOfbr1y86QT/11FOB/2t1tJOz3NI6ggYAKwga3IYW9Bdf
fJEYQaekpEyaNOmBBx5oHEmIl5V/Fy9ebDuBFnRmZmbYuUnr0odGjRq5TdCy
FWRbIGiAxIOgwW0oQc+dO1fU8Mknn3wYzxg+fLgS9MSJEyMV9KhRo5R/f/vb
34YWdOvWrZ0IWvqgBC29iutSOw9Z/wgawBQIGtyGFvTx48fdLGiJrVu3BlNw
YWFhaH0ni6BlKyBoACMgaHAbRgSdn5/ft2/fiOws08sg+oMPPhALnzx5UvSa
WRGLFy9Wdpb/zbSLQKHL3KQPDRs2RNAAoEDQ4DYSL+h77rknLy+vT58+EQn6
jTfecPIctG0EXpWW1qUP9913H4IGAAWCBrdhFfTHH38cVwEpQTdo0GD8+PG9
e/duFElURtCDBw/2m5u0Ln1wm6Bl/SNoAFMgaHAbStBz5sz505/+JII4HM/Q
gh43bpxxQUsf7r33XiXouC6185D1L1tBDpYQNEDiQdDgNqyC/uijj+IqICXo
+vXrjx07NlJBP/LII29EG3369AkUtPTBbYKW9Y+gAUyBoMFtmBJ0r169IhJ0
bENaR9AAYAVBg9vQgv78888TJugxY8YYF7T0ISUlxW2Clq2AoAGMgKDBbSRe
0PXq1Rs9enSPHj0amgtpXfpwzz33IGgAUCBocBuJF/Tdd989cuTI7t27R+fW
Tp065efnLwoeMkHYmUjr0ocGDRogaABQIGhwG1rQf/zjH//whz98EM/Iysqq
jKBbtmz55JNPhr1ne9CgQREJWnoV16V2HrL+ZSvItkDQAIkHQYOr2PLChqxh
maKD2bNnJ1LQI0aM6NatW6SCdviklRNBS+vSBwQNABoEDS4hPy+3Ro2bRU/V
q1dXgv7ss8+OHTsWVwEpQUtzOTk5kY6gRbsOn3p2OIKWPtSvX99Vgpb1L1sB
QQMYAUGDcWTUfGedO6pUhFXQEY2gJ02a5PF4IhKQFnR2dnakI+hHHnlEK1h+
PnnypK/8S7kXLVqkz3tv2bLF4TVoaV364DZBy/pH0ACmQNBgllkzC6pWvaaK
JbSgP/3004hG0PK3zZs3j0hAlRG0Pr+tXnKhpCwfqv/t3bu3+l/5wcnc3Clo
Wf+yFWRbIGiAxIOgwSAydvazs0Tt2rW1oCMaQVdG0MOHD+/atWt0gm7ZsqX8
KiNl9avfBDKmdjI3aV36UK9ePVcJWtY/ggYwBYIGg1jPbEukp6efP39+5cqV
CR5B33XXXfJDWlrafZHE7t27lZHVrzk5OerXjh07qk8+KH8TpUSvXr3Czk1a
lz64TdCMoAEMgqDBFPl5uVY7b9++Xeks8YKuW7fusGHDunTpEpGg9ZA5IyND
fhULq19PnDgh/7VlyxZ9hVpNEDqkdenD3XffjaABQIGgwRQ/v7G6trMoSetM
Cfqhhx765JNPjh49+r7jUIJ2Pr2EFvSQIUM6d+4ckaD1kFk6rD4Jdhe3HlOH
CGld+iALrtZGREsRv5D1L1sBQQMYAUGDETZuWGsdPl+4cMGgoO+8887MzMxI
R9AtWrTQQ2b1iR5TW2P37t1O5iatSx8QNABoEDQYYcHcQm1nGcBajWYV9JEj
R5zbpDKCHjx4cKQjaIkJEyaoL/PUV5nXr19vXRZxt5ML0PeVj6ClD3fddZer
BC3rH0EDmAJBgxGmPjjB9vy2VdAff/xxYkbQderUiU7QtiFGVtbOyclx/lfu
FLSsf9kKsi0QNEDiQdBghFkzC7SgmzZtGmwEnbBT3IMGDerUqVNEItbDZ4kW
LVpEqHH/kNalDy4UNCNoAFMgaDDC+rWrtaCrVatmVtAygs7IyIhU0PoxK30N
upKClj7UrVsXQQOAAkGDEQ4d3POTn/xEO3rFihUGBV27du309PQOHTrcG0ls
3rxZ3wYW0R/ahrQufUDQAKBB0GCKnj26WgfRZ8+eNXUNWgQ9cODASAWtH7OS
kHYrL2jpw5133uk2Qetr0FnDMjduWGt8twG4ekDQYIrdO7ddd9212tE/+9nP
HnvsMS3oWbNmffTRR0eOHPm941CCdj69xLBhw5SgBwwYEKmgJaSrStDr16+v
vKClD0rQ0quIliJ+IetftoISdPXql55b//mN1bOzMg8d3GN8/wG44kHQYBBP
0bwql0fdunU7duwYtaBvuummiZfHk08+GeJPlKDvuOOO/v37RyroCRMmLFy4
0HolWny90C6czFmmkT7UqVMnrKBliWS5duzY4XzNRB2BglZRo8bN69euNr7/
AFzZIGgwi/VEtwr1NqsoBD3RLpwI+vbbb+/Xr19qampEgtZqDhsZGRlh5yat
Sx+cCFoWSqYJvVyximCCVpE7Ktv4/gNwBYOgwTizZhZYbxiLWtBRhBZ03759
27VrlxJJOBd0enp62LlJ69KH2rVru1bQ6hEwv3hs9XLj+w/AlQqCBjewe+e2
+vV+EyjoDz/8MK4CUoKuVatWnz59jAta+nDHHXe4StCy/rWgV65ceeHCBdW6
juuuu/bA3h3G9x+AKxIEDe7hlZdemPrghE4dU5Wgjx07dvjw4bgKyCrotm3b
RiTovLw82yvOttegw85NWnehoGX9y1aQbaEErY43Dhw4UK1aNe3oLp1Sje85
AFckCBrcRuGMgktP3RYWHj16VATxXjxDC7p3796RCjq2Ia1LH7SgQ/RZCXr9
+vVxXTMqZP3LVpBtYRW0xJw5c7Sgq1a9hkE0QDxA0OA2rIL+4IMP4iogJejb
brutV69exgUtfbj99ttdJWhZ/7aClrjhhhu0oz1F84zvNgBXHgga3EbiR9Ai
6J49exoXtPTBbYIONoKW6NKlC7dzA8QVBA1uI/Ej6FtvvbV79+6tW7e+x1xI
69KHWrVquUrQIUbQ06dP14LOzso0vtsAXHkgaHAbiR9Bi6C7devWqlWr6Ny6
YMGCELdwN23a1MlMpHXpg4zlXSXoECPo9PR0BA0QVxA0uA0l6JkzZx45cuT9
998/FM8YOnSo+OXXv/51165dwwo6NTVV6+mJJ55wKOjx48c7FLT0QQlaehWi
z/n5+TKNdCCua0aFrH/ZCraClqMaLegFcwuN7zYAVx4IGtyGFvSHH374wQcf
xFVAWtBpaWktW7YM7VBRrdbT8OHDHQp6165dTgQtrUsflPXcI2hZ/7IVZFv4
CXr79u3Wp6FfeekF47sNwJUHgga3YRV0wkbQTgRtFXGwz20jeQUt6z9Q0OfP
n7fewn3rr2sa32cArkgQNLiNxI+ga9as2blz5+bNmzcIGTIW1oNi6+fz58/X
LtYfTps2TX/Yvn370HOWkNalD3Ko4CpBB46gZexstXPVqtfwDkqAOIGgwW0k
/hr0r371q06dOrVo0SKGgh4wYID+UH4OK2hpXfrgXND9+/fPvzzisX6s16Bl
gJ+SklLl8uABK4D4gaDBbST+FLcSdGxH0JEKWlp3KGgZO+fbRTzWj/UUd+Db
rBo1TDG+twBcwSBocBta0OqLuN+NZ2hBd+zY0bmgRVvxELT0oWbNmkrQcV1q
56G+jjtQ0FWrXsPYGSDeIGhwG0rQM2bMSKSgO3To0KxZs9AOtYo47GXl5cuX
R3QNWlqXPiSFoGvUuHn92tXG9xOAKx4EDW4j8YL+5S9/KQ5t2rRp/ZCRlZWl
nfviiy+GmLJJkyYnTpzQE4eerQppXfoghwquFXSnjqn5eblbXthgfA8BuEpA
0OA2Ei/oW265ReQoVg2rUat2ZUAdzM76ZLjEunXrnAha/srlgpbtYnzfALiq
QNDgNhIv6P/+7/9u27bt/fffH1aj48aN81lCRCyftGvXTv2v/CC/WiUu0b9/
fyeCltalDzKWR9AAoEDQ4Da0oNWbMt6JZwwZMkQJuk2bNk5G0BIvvviiz3Es
X77cyTzrl4+gpQ8ylpf+SK/iutTO473y92XItkDQAIkHQYPb0IJ+//33Eybo
1q1bOxlB1w84gx0iZPjpUPr1y0fQ0gcXClq2AoIGMAKCBrehBD19+nT1EHRc
BaQEXaNGjVatWjVu3Lie45g3b15oOy9btsz53CSkdemDHCq4StDqUWgEDWAE
BA1uw4igW7Zs2ahRo4iUKmPegoICv9G0/Coftm3bNqJZSUjr0gcEDQAaBA1u
Qwv697//fcIE3aJFi0gFHduQ1qUP0hO3CVq2gmwLBA2QeBA0uI3EC/q//uu/
mjdv3rBhQ4OCltalDwgaADQIGtyGFvR777337rvvvh3PUIK++eabmzVrdt99
9xkUtLQufZBDBSXouC6185D1L1sBQQMYAUGD2zAi6KZNmxoXtPQBQQOABkGD
21CCnjZtWsIEfdNNN91///0pKSl3mwtpXfoghwoIGgAUCBrcRiIFnZOTI0K8
8cYbGzdufO+99xoUtLQufWAEDQAaBA1uQwv60KFD8Rb0ihUrRIj/9m//1qhR
o4YNG5oVtPThhhtukP6MGTMmrkvtPGT9y1aQbYGgARIPgga3oQQ9derUd955
RxxxMJ6xd+9eEeKPfvSjlJQU8WODBg2M2Ll+/fqNyuPHP/6x9GfdunVxXWrn
IetftoJsCwQNkHgQNLiNRApaokmTJuLE66+/vmF5yEj2nsSGHBuoptUzVtde
e60cNsR7qR0GggYwCIIGtzHnoUvfW5WXl6cexY23gzZt2nTNNdeoK9Giy3sN
hdhZBvLSjeLi4ngvckQhm4C3WQEYAUGD29i4YZ3ooHPnzokZQUvk5+dXKY+q
Vav+x3/8xy8SGDfddJMcGFSrVk11oHfv3glYXuehRtBjxoyRLbJowWzj+wbA
VQWCBrfx+3f2iQ4aNGiwe/dudatSAky0Zs0adQe1qbj22mvdNnbWt4q1b99e
tsi2zc8a3zcArioQNLiQIYMzxAg5OTla0Im5aXnFihUyWhyS8JB29+3bl5hl
dBh6nc+ZM0e2RbNmTeXAyfiOAXBVgaDBhezaue2eBg3EC5MnT96/f7/poeTV
GwsXLmxQviGeXPeo8b0C4GoDQYM7ebho/m/Ko1WrVrm5uQVEAmPGjBlyaNSu
XTu1CSbljze+PwBchSBocC2bnnsqNfWfjiCMRLNmTRk7A5gCQYPL2bhh3aIF
swtnFFypTMgbIxjvRiCy5rnuDGAQBA1gFnIQAGyhOACYhRwEAFsoDgBmIQcB
wBaKA4BZyEEAsIXiAGAWchAAbKE4AJiFHAQAWygOAGYhBwHAFooDgFnIQQCw
heIAYBZyEABsoTgAmIUcBABbKA4AZiEHAcAWigOAWchBALCF4gBgFnIQAGyh
OACYhRwEAFsoDgBmIQcBwBaKA4BZyEEAsIXiAGAWchAAbKE4AJiFHAQAWygO
AGYhBwHAFooDgFnIQQCwheIAYBZyEABsoTgAmIUcBABbKA4AZiEHXYvaNACm
WL92lWC8GwBXLeQgANhCcQAwCznoWowP4eEqh/0QwCzkIADYQnEAMAs5CAC2
UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADMQg4CgC0U
BwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQgwBgC8UB
wCzkIADYQnEAMAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAw
CzkIALZQHADMQg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxC
DgKALRQHALOQgwBgC8UBwCzkIADYQnEAMAs5CAC2UBwAzEIOAoAtFAcAs5CD
AGALxQHALOQgANhCcQAwCzkIALZQHADMQg4CgC0UBwCzkIMAYAvFAcAs5CAA
2EJxADALOQgAtlAcAMxCDgKALRQHALOQgwBgC8UBwCzkIADYQnEAMAs5CAC2
UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAwCzkIALZQHADMQg4CgC0U
BwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxCDgKALRQHALOQgwBgC8UB
wCzkIADYQnEAMAs5CAC2UBwAzEIOAoAtFAcAs5CDAGALxQHALOQgANhCcQAw
CzkIALZQHADMQg4CgC0UBwCzkIMAYAvFAcAs5CAA2EJxADALOQgAtlAcAMxC
DgKALRQHALOQgwBgC8UBwCzkoGv5//11gSA=
    "], {{0, 351}, {651, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag[
   "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
    Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.5],
  ImageSizeRaw->{651, 351},
  PlotRange->{{0, 651}, {0, 351}}]], "Output",
 CellChangeTimes->{
  3.7318689571987276`*^9, 3.732470365268996*^9, {3.73713879781184*^9, 
   3.7371388930535135`*^9}},
 CellID->362596567,ExpressionUUID->"2e4dc029-a86b-43b5-8919-ce3b8148b7f4"]
}, Open  ]],

Cell[TextData[{
 "You should see the geometry described by the ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "d524836d-7fc8-402d-9bdb-1864f98e395a"],
 " expression in Rhino. Replace the expression in the input panel with one of \
the following to make a different surface."
}], "Text",
 CellChangeTimes->{{3.732013624098295*^9, 3.7320136852477846`*^9}, {
   3.7324674931797285`*^9, 3.7324674959917135`*^9}, 3.737136944767301*^9},
 CellID->446770632,ExpressionUUID->"a5b5b604-97d2-4aca-bd02-66d431dfbb81"],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Spiral pavilion:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.622650448297984*^9, 3.6226504529465904`*^9}},
 CellID->1271182112,ExpressionUUID->"b29b59c4-b6b0-4b33-ad88-2354dad8f572"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"SphericalPlot3D", "[", 
  RowBox[{"v", ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", 
     RowBox[{
      RowBox[{"-", "Pi"}], "/", "2"}], ",", 
     RowBox[{"Pi", "/", "2"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"1.5", " ", "Pi"}]}], "}"}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6224155061785536`*^9, 3.6224155061785536`*^9}},
 CellID->1590436028,ExpressionUUID->"14ef20b5-9036-4c63-b20a-efabd024f8ea"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnddfXFe25+9nZh7mcV7mvvS9/Znb7bY7Oae2G8e2ux26Hdtut62EAIEQ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    "], {{0, 201}, {212, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{212, 201},
  PlotRange->{{0, 212}, {0, 201}}]], "Output",
 CellChangeTimes->{3.7318621102011538`*^9},
 CellID->729368387,ExpressionUUID->"0d4c3fa9-353d-4f55-a279-d38af622c4c8"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Twisty marble:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226504932083836`*^9, 3.622650503971901*^9}},
 CellID->657823233,ExpressionUUID->"f3a61b62-1477-4dd7-b929-148f6c47b7dc"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"SphericalPlot3D", "[", 
  RowBox[{"1", ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", "Pi"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", " ", "Pi"}]}], "}"}], ",", 
   RowBox[{"RegionFunction", "\[Rule]", 
    RowBox[{"(", 
     RowBox[{
      RowBox[{
       RowBox[{"Sin", "[", 
        RowBox[{"5", " ", 
         RowBox[{"(", 
          RowBox[{"#4", "+", "#5"}], ")"}]}], "]"}], ">", "0"}], "&"}], 
     ")"}]}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.622416502928996*^9, 3.622416502928996*^9}},
 CellID->789262275,ExpressionUUID->"a8473fab-815a-4423-9750-3931622235fb"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztndlXVMm27ve49z7cx/u+n84Y9z7dUbs5tc+pvWtT9r2WfVsiikkPAtIj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    "], {{0, 168}, {182, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{182, 168},
  PlotRange->{{0, 182}, {0, 168}}]], "Output",
 CellChangeTimes->{3.7318686146717854`*^9},
 CellID->124568406,ExpressionUUID->"b2890799-71c7-4e69-9af6-e80f9d9fe230"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Holey torus:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.622650554934814*^9, 3.6226505586942453`*^9}},
 CellID->1972127464,ExpressionUUID->"18cffa47-1e36-40bf-a2b5-9d8501bcd232"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ParametricPlot3D", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{
     RowBox[{
      RowBox[{"(", 
       RowBox[{"2", "+", 
        RowBox[{"Cos", "[", "v", "]"}]}], ")"}], " ", 
      RowBox[{"Cos", "[", "u", "]"}]}], ",", 
     RowBox[{
      RowBox[{"(", 
       RowBox[{"2", "+", 
        RowBox[{"Cos", "[", "v", "]"}]}], ")"}], " ", 
      RowBox[{"Sin", "[", "u", "]"}]}], ",", 
     RowBox[{"Sin", "[", "v", "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", 
     RowBox[{"2", " ", "Pi"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", " ", "Pi"}]}], "}"}], ",", 
   RowBox[{"RegionFunction", "\[Rule]", 
    RowBox[{"Function", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"x", ",", "y", ",", "z", ",", "u", ",", "v"}], "}"}], ",", 
      RowBox[{
       RowBox[{
        RowBox[{"Sin", "[", 
         RowBox[{"8", " ", "u"}], "]"}], " ", 
        RowBox[{"Sin", "[", 
         RowBox[{"8", " ", "v"}], "]"}]}], ">", 
       RowBox[{"-", "0.25"}]}]}], "]"}]}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6224177038052316`*^9, 3.6224177038052316`*^9}},
 CellID->1283679650,ExpressionUUID->"5b02ac4d-3a48-4e90-a505-b6c4f6e2c25f"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztvdl31FeW71mr+z70Y7/c+5LVvVZ1ZfXql7xr1a11r512MIOxDQaDjY3N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    "], {{0, 160}, {234, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{234, 160},
  PlotRange->{{0, 234}, {0, 160}}]], "Output",
 CellChangeTimes->{3.731869575402498*^9},
 CellID->1183159788,ExpressionUUID->"37e9092f-0686-49e1-9a9a-2110c32c4a5b"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Wavy surface:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226506751130905`*^9, 3.6226506779990163`*^9}},
 CellID->1815469343,ExpressionUUID->"64e3c874-55ec-44b9-a021-6dcc7fbd7836"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"ListPlot3D", "[", 
  RowBox[{
   RowBox[{"Table", "[", 
    RowBox[{
     RowBox[{"Sin", "[", 
      RowBox[{
       RowBox[{"j", "^", "2"}], "+", "i"}], "]"}], ",", 
     RowBox[{"{", 
      RowBox[{"i", ",", "0", ",", "Pi", ",", 
       RowBox[{"Pi", "/", "5"}]}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"j", ",", "0", ",", "Pi", ",", 
       RowBox[{"Pi", "/", "5"}]}], "}"}]}], "]"}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}], ",", 
   RowBox[{"InterpolationOrder", "\[Rule]", "3"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.622419170220847*^9, 3.622419170220847*^9}},
 CellID->1145591225,ExpressionUUID->"92f358f9-b7e9-4715-b3da-46969baa9a43"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnVlzHUey3ydsP/jRX+GG7c9gh8PhiPvomLd7476BkqAmSJCUNDNaRhsp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    "], {{0, 180}, {
    240, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{240, 180},
  PlotRange->{{0, 240}, {0, 180}}]], "Output",
 CellChangeTimes->{3.7318687820028887`*^9},
 CellID->1760823220,ExpressionUUID->"d3265843-a97a-4d7b-be17-e209b9d34d03"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Shell slivers:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.62265071540652*^9, 3.622650718214412*^9}},
 CellID->1831202880,ExpressionUUID->"5a6b7bbc-2e6a-4fe3-8915-3b23a8528a05"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"SphericalPlot3D", "[", 
  RowBox[{
   RowBox[{"Floor", "[", "v", "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", "Pi"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", 
     RowBox[{"2", " ", "Pi"}]}], "}"}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6224161194449472`*^9, 3.6224161194449472`*^9}},
 CellID->1438659003,ExpressionUUID->"9d760d82-6bde-414c-850e-c76a4d1901ae"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJzlndd3XceV5r1m+mEe5932eDy22mG17ZYcKItJoiRLsiTLkiwrASTBC5Bg
zjkBzAEMYE4giJwTkUGAkkZrVnu1p2dWe7r/nppvn1sb2ChWnVN1zrkg7X7Y
BHhxT7hVv/vtUOF8d83WD9b+p2984xs7/wv++aBi7ys7dlTs//C/4j8fbdm5
ft2Wqsq3tuyqWle148U1/xkvdsDuwP4OdvX2A9XQ0j3P6DXT5Ovm++PMdnzc
eUKvQe+tPVUXme+xPu9ztUGaz+17zrTXCLlX32tk+fyhnyPuus9CXzJfIff6
LPVlljZI07ZpPnvIvaa5RtKxcdcsteYxY3+LfenTtmmvEfI9yVv38vJfIZ8j
5BrmOV0a9qz2ZV7tm/Z74sNTlu+JrX1d58zjO1lqzZN8/TX1ZanaN+mcaXkJ
udcsXIawtxCax4ylaaNnrS9d/ZjUl1nOn/azZ+EvK5cLrXlZfORCaV5IX6Zh
MGsbPyvflSyfJaQvQ65h1ilCvgOlYCTps8SdN20b286bheO4+83y2ZPOyz99
NSOt5qVhLLRt8vyuZP38Wfoyrf9Ky3FIn2XVPdm/ppWiH13nCvWRJfVfZRXP
vP+K4y4tx3m0b5rP4uIu6zXM+08Tg/n4r7RtzHYNvN0prIt+LoT/KrXupeE4
9H7TfP4Q7tL6SDMO82nDhe5HYo0trh+z+i/bubN8/rTtsBC6F/I54nytz3Gh
918K/xXy+e+Cs7sGc2nudSH9l+v9rvOWQvd82j30cyRxF+ojn8V+ZN7In5L5
nrtU/fis616c/ufVj2k1z+c6T7Mfr4Mvl74tdD+62iKPds5T90rZjza2krjL
0lYL3Y/MWhxvT8N/+bZFHrqX9P63b7ydqR99GAthMY3mJbWV657z7Mcb0DaX
vuXxffE9phTn9rlO3HmJMR/O0nwX07Iir+PDXV66l0c/3gNXzNt1HbeR3fbw
p0nsx91z3roXem8uY77ISqGpoeNFvtfJqnkh/ZilDYg31jbJG9d+8+rHtLrk
G0tk0T3JmM/5Q/nymdtq+y6laV8bez7HpOnDkO8LGbF2zxK3kbbl0Y+u70PS
9yUP7U86j4+flOfwPXcWH5mmD31Yl5bVr/jes/laHGu3C/H13tB7y/v74nMd
87xxGhZ6/+a58/JdPt/FtNfx1Tz2d6Hcx/Whi7Wr2o+GnLtUuudzTJL5xGJZ
fGTo9zDLdzFL29ru3WSPYnhiogF23zN29+lDkzUeM71taFtWppPuLc9z2xjL
sw994yDz3Hn4Lp97Tnuduvc/iuw87ALsvuatwcFASF+TyTzU5kNvpbhOHB9Z
29uHPV8/GdqHeY0X+R5TinO7rtPIGqZ/XtS8MX9Z5kjxMaxpZg7qYi3tdULb
I017p2Es6Zx51MJ82yLv76HPMQ/Qv2SNDruv7YLmLXSOlLxWXKx2RVua74yr
7ZK+i2muY4vDQtrbZub3OI9zhrZFGpbjzm0e04S+btKsMW8me7fQ/8ybbJuk
eVK2e7KNU7GmMWv1AfMsQ7lM6wN8NCw0Znqa83Z82iLL9908N3Nm8kZ2h2J2
mKltrjzBN7e1sUaadkv7z5vasvShb5uXKhYzzx3KV17MZfkOpjnW9rdmygUp
z9R2Vxvxxj9NbYtjzdWeNvbMuUUyTnOxlrVNQn1FVr5sr6WpafpquvkdzCP+
8GnjpOu0oB/ZmrVJ3iR3Lt5C+1Aydw4xnyv/ZM5uOHTNt73TtrnJWNa4ybbm
xKf/smh23nGY7dxJx7Si/9iYtQYw1SyYY1/KvJl+lGO3LN9PYu2stjPaTE1j
1tJeJ7TNQ8aOssRNedyrDytx586qe0n3LTm7T3E+zNQ2G3Mct90Wdiumtu+6
P2mmpp0Ga2SntF3G+S8HXCPuWnFtkkcclpU517nyjMOS2iENy65zN6Lf2kiT
8NOmbS7mmiz5gdS1tH7c5jvJKPck1k5qy3OtrXxvFsZ82jvruVxspGHadkwe
cZjNiC9p9z15c8Vrs7Vex30n3aNcU8WcUY1D+k62PNfakpl8ZY3FQtnPwkre
LGc9/yxfxNGil1Q7frYvWRZZG5nWtvvCGoQvbdA5qelD41gzP1fSfZu1Wxmj
SdauW/LQNHPzQuZYlNIvpjmHz7mzsiyv5XPfsh5G8VQn8YX/d+Bnh/69TZjU
tQbNm+QsjjXOQ0P9OFtcjUNyJlmzXSupjvy0YzFX//lceyGY9r0fVz2MrAts
MWvSTNbM/IDMVm9zjR+k7j8xFhXH2TXNs+81mLe0Y5O+sVhc/OTji13nSXO/
pYrDzLhdckHWsWix6gZjxFoHaZqDtbj8wMwLZM3jts4P4sYNkj6X1DMeh6rX
Oafk7CLVeAN4NjUsZC58ln7Og5VnJQ4z43aOqczXesBXczm0zTDm7AF+byyv
sPpQG2uskXe0rhFjXOsgu5lQj3B9LpffJNYuabuoLQ1jLrPNR84jhvprj8O4
3231sFbjdbJe8pn4ycaaRqw9EOaK10JyUNa0m5ZxcZ/2sLFGnEm/SXYhoaaS
xU+mWf9ju4eFjMNCP2PcMZInNvZ3khGTlS7BGBvrm/SjrGtsNtbYF5t5wRP5
Z2H+nMkQ3mQdrV77TfadzNlVbeb5pYblWReLq6mk9VdZtcgWA/rEgnHn5f6W
HJn1MBtv/UuXq/4lRevSzBFjprbJmG32/Hjf/fInax6++SdxlhR72tqGYzTW
tDjOrgjWsoxPhvZ1Xmse0+aFoef20TCTnUh7yiqeyB35dWmD4GxAW1dltWop
XxP97CpUg7PqRNbI7mveZM2Ddc3GmvSdrnngSW3D89J8OKuHPY2aWBJ7oVwn
3VfecRj/3cUXM9bhYX2/XqJ6Ya0r18xaxJm2Ts2bizXOD0wfKuM023j7bJ2j
UFyTEsIZ/S59J491XtK5puRs9ec/iSxtLBbKXBY2fbXIl7us93rf8IVSq3zY
ahX1i6Ef/FC1rSqormUvq56q9aobRqy1COsk3iqJtTne4nIDmROYeibH2Wdz
Tw/ObO1hjgtwXYOM8oAKzRhZfQrdDO3bNPF2Vj7TxGA+9yq1i62J/JMw4kDG
9K16HGk25tI1/4fP/VB1rK5SvS+vUD3L2V5R3cteiXhja1lZiHhrhjWVr9E1
j2pt8Zw1F+bP6bDFaMTajTL3OoC4NjE5Y99JjJGR36zDuc9ry9r+SdxlPT4v
LXLdm89xJmMdmjHWGJkrztqLi1ULrFPX+9naFi1WYz/6sRqo3hRZP9m6Tapv
3cbIetdugL4VjXnrqlwvWFsDPSsa8dYGc3F2F/dBFpcP8JrO0LY3OSuArTWa
MY7POEarTzh/XrGYz/3HaaLPsWnvM+n8JmOsXWY9go3GwqN6ha7ztxNv6Guy
DvxOf5t87TdqaMMWNbh+c2QDZNWbI+Yi1pg3WCt8awss8p/C2mHEWmNkxXyg
oXwu77xXbs8F4jgz2zKpfTgPqARbzJnMAyRnly3+M60mhcZsWXSrVHGYPC/X
IyRjpm+8oH1ju/aJXKOg8aQe/X9ijF+n3ydefV31rS2y9HDjNthWNQQbBHsD
67dE3PWBuXb41m7oWpfWtE6DM7K2SNPEWDvOf0/b3QTWuJYWss+CbB/KAYgx
MjPntHEmWUsTh+WhfWljuTR5ic/5Wcc4j7Tp2EWpXYItsm7qd6o5wOj3olVH
9uVb76jHb76txrbunO83wd7DTdtUNzGF9xNrPXidWeusLJpkra1yzneamiZ9
5x1tNs4oRuO1KL7tz/UKYoxzTsoD4vSMOVvI3C4tm0nXi4sBQhkzc0kZg135
7vcibSLGupkzYcxXT2TVqqeyaP/rvffVo5171dSOvWpy+x41sX23Gt+2C8zt
UqNbdka8kb+kuIzqGrOs4bXOqic5Y03jOpprzHM278T7yDjnJJP7boQwxjUL
mQdc0DlnnTbKASRnZz3HQF19HuLP0mpiFi59OYtjjO3a958r+khYxBriLuKq
S/9sgxFTvZGtn2d//uMnambfITW996B6tOeAmtq9X03u2gcd2x7FbKPQuJEt
O9TDzfg/fGpXZbGm0b5mrWpdXamaEat1aNaiGG1lMUZr1ZqWxNlsHa18rrZh
7v3ow5h8bd7cIIueEWvnYGe1XQzQzTRxmC9LtmPy0r647wPX+Bu1rzQZuwy+
LnIcpn2jtDb0N/HVjr5vXwkeiIlVlaqvagN84gbVD/uXz1eqLw4fU48P16qZ
QzVq5sARNQ59I+6mwNsENG4M+ka8DYO3IfA2CN76ELORrnXhHMRaE85PjJFJ
3+nDGemZLRfgNSi29kkam0zijLTskrYzCWPtWXQlVPPS6lGae6T3yhqsrOkz
Y5c0YxzPcwwW+UXqZ/R3pF/wbX2RFbnqR8zVVVEVWTc06c9lq9RXx0+rr46d
Ul/WnFRT+w+rL48cU18cBHP4nTRuEtyNg7dR8DYC3oagdQMbtqpe+NDuWdYq
VQeuQ5rWqDXNFp/Z/KYr53Tt023uKRbCGTMmOSM9u1CIH8vPOxZznTfOtybl
I6H3yPMtmDEZ9/PYNjF2UesYMdYHo7Fw1q4+zVf/LF8b1CDi+yHo0EP4w2Hk
k2Rf111WM2BspuaEmjl6XM1A277G//8n/v8lNO7xgaNqGn6V/On4jiJrD6Fr
RU3botrIfxK34LcT1yiytj7SNPKd0Vw3S85pywPiOOO90Gwa5mJCcmaLzZgx
k7Okc4foUajmlVIjpbVoxmRcZsZjFPNf13H/XHxfLfiaY2vA4GsEfIzC942B
lf+3e5/6+soNNXPmgvr6/CX19dmL6uszdarr9TdU56uvq46XV6g2sNu2dJlq
fP8PagKsjUHXIk3DOai20Uv+M9K1TaprHbO2QbVXzWdt3hxbkW9yHiA5a7Bw
Vq3HJn3HJ6ndedyJTPpNF2d1Bmtp8ruk40I0L/S4kHykQc9BNOv9snZBdht+
k/iiuYnEGukYxV+diM2LfG1UA+j3QTAwAt0a3VRkaxyMTECTJpFX/uu+A+pf
9x5QnVu2q86NW1RnNXLItTSGiWuuqVS9b7ylul8Db8uWq7vg7CH0bJBqHxuL
PnNw0zbVD3aLrG1W3dXM2kbVsZZZW69aK4usST2z5QFRLlA+l3NybYMYW6ct
pB9m5zlqPWNNOyfiM2bM5CwNKwsRU4Vonyu3kHNfpZYxZ1d0THZRxPytnEuS
jon4q7tibRR/UYw2Bu2Z3LZbTUGLHu1AjI/4nmoXnTXHVOe+g6oTuta5A//f
Ct42gbf1xAkYKVSpllVrVHPZSvXgk8/VBPKEQbDWD9Z6wRrpGNXRKNfshQ/t
WT/HmuSsBX8n3xmXC5h6xjnnerBFnPnuI/pEGxeezAO4nkFGOcBp2CniEK+f
9KwP56kvwVqU8t7I7un5WjafSca55S38vKQ1LGKsUKxVRLEY6ZjWsCHoC/nK
UWjOQzBArE1shY6Bk6bff6jaPv5U/elojeo8Uqs6Dx4Bb9C13Xsj3rqgb11g
rasK2gZd61i5WrV9Vq5GEKdNIF4bQy46itxgGKwOgLc+aBrdayu4bgHjzaur
Is7aqopa1kDzPXCfzZH5zXvcCLY2wIgzXrcp99vz7W8XZzafSawxZ6WIrUJi
vVLlInIuP+eZUfyv50xTjewGjPxli6jpk5Y9wRjFYjCK88e37FRTYIvqFBRf
tUGXWj7+TLWCmz+dPK3aao6rrlrYkRrVffCw6oEf7d21R/WCtb7qjaqvsFZ1
fr5SteO4maMn1CNo2uS+w2ps1371EJxFPpS0rHq+lj2AD6e88z4s4gz32VxZ
ZK0pMjdnxBhzxjGaXA/g6gfX9902FmByRoydx0+yc45rlEJf0vKZhv/mwjqr
z2Q9u4yY/yrsBuz8i4vnGJvVsqK/ZM4ixqjGSvEYdGcSjI3tOaBaPitTbSsr
otirs2qd6rp4WXWdq1Ptx0+pjqPwoYeOqq79h1QX/Gg/WBvYsk31grNBvL8f
mtYHNh8fORbVPuZz9mRs1gjOinpWtAbN2z1tTZVF3h7AmLPN4GqTNjMXMNed
hPRFHGfE2GntM03O8urvtGyG6F3SNZp0zOKKzergI0nLzoEvjs3YZ1KNrB39
aWpZxBj8JDE2DC0b2XNQNYGR5lXkk9eqDsT7XYj7//n2XdVzqV71nL+oes+c
V30nz6j+YyfVwNFa1QvW+rbuUP3rN6l+HDNcUVAPEafZOLNpWRSbEWfaWiqL
1qx17S7unewOWfkaMPbTyDbBZH3D5My1n2NSX9RZahocm7HflJy5WMvq10IY
S6uPtmObDc7M2OzsosXqLBi7peOzS7P12Dkt61xdrLlSjbYPr40gJhtHPjmC
uH/68DHV8nm5al0NJpFHUozfBZ3qudug/tzconrrr6r+ukuq/+x5NXDqjBo6
flL1I14bPnBIDUPTRvDeEXA5AB3sg+8cR4w2DH5HwdkQOOsDZ8wYxWVNyHfb
oxyA4rMN81nT1ox7jPSMxqlgW8rAGOy2zDnLK7w48+0PrtGeE2NOMjbz5cwn
Tg+td6RdFxXHprwHmlfKjEnO2Gfuh5+keT4XtI5dFOPjxbgM/pJ1TNdeqX5B
/6cxojEaq0Q81b66oDrgJzs3QHe274xisP/d3aP+pbNb9V+7oQagaUPnLqih
U2ehZcfUMPLQEXA2Cs5Gwdkw2ByCpg3Ad04ePa7GDxyBT8V5EJdRXbYVuW0z
4v+odkaMaWtbW2StNbInOdsKtrZoa6Sx94KRc5bPjXGae7dcDswLpc8kzqSe
cfwvGTurLYvG+OiMZC3Lsy/jzk0xMK3NMHNNnnNfpxmzcUZ1jMhXztb3i/VX
YozmXDyC7jwGE+3wla0VlaoNMX37tp2qc89+1Yu4v/9+kxq4d18N3rythq5c
g57VqYETp9UIYrVR5AZjBw6rEeSfD+E7BzdsUgPQwl6ca6zmpBo+eFQNId4b
gJ6Rf4xyTJ1nNglNm+NsTs+aK4u2texns5w16hgtbkyA99yW601C+9xVO2Mt
I9ZOaDuuLQtjtuNcuYv5vrz2XOA90s34LMozwdgZ+MszLxZ95pOcFef0UOwf
cQYdK8Znm6Ma7CPo2MzBGvX42CnVhriqY90G1U2+Etz0HT6qesBR7+17qu/m
HdV/FXp2sV6NICcYBWtjyEHHJGfbdkArwRn0sG/VGjVaW+RsEJx1Uo0W147i
f1mfpRgNrDWuqlT3EauRSS3bphkjnynzANt4gOk35XrgS57j39wftrEAV2zG
epYl7s8zXku75wLn9JIz1jPymTROfhVGjBFr57RFNQ09d4z8Js3pp98pJhuD
L6M6/6O9h9QjxOvN5avBLuJ+cNINXvqgZQOHa9QgWPq/o+Nq4PotNVh/TQ0h
PnuIPGAYWjYMvzkBm0TeOblzjxoHn2PwmyOFKvUQfnPiKDF4RPXT3I2tO6P4
rGvdpic4aze0rGFlQW0HX8xYk4WxuPFNrp+Za018fJT83TZ+7uLsGNVxPa+R
lp+0Gumjd/cL6+Zxxn5TxmfnwRf5zRuatQs6ByA9o/Vubeg3yjU74a8Gda1s
dPOOyGfSuPcMOGsBF+1Uv0Bu2bMDMfu+g2oQueQQ4v3/83BEjdy6o0ahZ2OI
z8bPX1ATp8+qSeQBpGXju/aCMeSs8LdjYHViTaUaQ745CoYphx2jOWqUB4Dv
Lq5prJvjTOYApGPM2DbNGOWY5vimS8vM5we4OLP1h8mETctMzoix45qx04HX
yBLH+/AVl0uY3EnO7opcgDmrA1vMWZ2Izy5HuWZ1pGe01pI4o7GmLj2+RH6U
5iJSbPYFxWbIEbvAWS8469+xWw3uP6iGoFUDtSeKjN24pcYQm43DZ06cq1OT
yAOmjp1UU0dqcI4DahpsTm/aombWVqvJslWq94VfqNbFS9W9d38/V9eged0R
Z5s0ZxuFnhU5I8bImnWOWaybzR9z4jzzhrbr5cVn110rr7Du5y7n//v2Cf3f
HG+yccaM+XC2UMyFnqdOP4eLnsd1CWbGZ8TZBXBGY5mSM9Ky+iXLI8ZIz2gt
b2+Vnq+I/h1C7jdM9Qyql+3Yqyb2H1btn5VD7yrBwhY1uHO36t+9Tw0cOqpG
Ll9Rf+npVeP1V9X4hctq8iwxdqbIGPRuGno2DT2bgZ7NwGfOwGdOfVKmBla8
qjr/+Ilq/eAP6u5v31XXfvNWxFa0B0y15kxo2s7yf1Q7ysFY+c9m62ZyLCAp
LiPGrpZXzPOZPpwl9Yk5DsD5Jsf/ZzVjzNkpD9ay1DqS6q2pWC0U1/pzHnAZ
rNXDrsCuwqjPLlr0jDi7QPOwiTHE0hFna+c4oxyA1oyMgTGqo9IYURf8Zj8Y
6V27HvHUdjWA+GwInP2lqVmN111U4+cuqEn4yinEZVM1x9Qj/G0amjejGXsM
n/kImjgFXqc/X6m6aR3xRx+rTnDW9rv31QOwdgusXV7xumpZQ7WNtaqpophz
7lr5vNq5kjj7x2IOoGu0Ni0z4zLSsmvlFU/ssW3b2+BqIbz2YI5rcq7JWnZM
Wy1pngdnedZU8xpvoDkv9wvrrPkmWe23/5s6AzsPq33+5xFn5DPrwNiVpUU9
ozUhtG63yNnGiDPKB4izUejZ+N6DqoV4ID0DH72rC9C6LWoEcf0Y1WChWyOw
qH4BtqaQG0wfOKSmweEMdO8xYv8viDHklzOr16hH5avAWpnqXf6y6vnDH1XX
+x+qjt/9XrW+/a5qfOMtdfvV19WVV16b1bTdq56POGtcTflmMec0OXOupyuf
ew6nbS9ac89Gnl8W0i/mXCBmjGMzqWU1+FuN4/x51VTjNCzNeMPdwtxzLF2c
naX5GDTOBLZI046BtROwU8//Qp1BfERr3OZxtq7IGa2Fi2q1yAFHEaM3Q3Oa
P/yj6kbsPlABzqBpo5u3qrHdiO8Rf01Cv6I4DD5yAvxNbt2hpjZtVVPEV+U6
NQV/O43Y/9GqCsRmK9X4p5+r3mXLVc8HH6mu9z5QHe+8p1rfekc1Qc8aXv2N
ug3O9q5+Qe1Z9ULEGdfPeMyJxjTvitjfpmU3yt3PenX5TJ5bFtonzBmPn5uc
nRY+86S2PPUmrTbG5dT8/zjOmLWzYOuctjOLXpoXm12Fnt0CO7c//Fjd+cPH
6u4fPpnHGq3rHd68XY1u36Ma3/6d6sB7uj8tU/3wfUPwn6PVG6Ic8t+OHY/q
FlPQr2no18y2HWoGjD1GLPYIueUjMDaJYyaghWM07wyMjSMu61+8RPX9/gPV
A8Y6wVg7GGsBYw9WvKaOLPnvav/i78wxVjXHmM1fmmNMzJjJmW1/UDn3v07P
lQ31T3LOmcwzpZbZODNZSKM3SRoWyqx5/bv6exvH2XloGbF2Coyd17EZ5Zn1
YOya3puM97kgTSPW7n70iWr446cRZ+RHaf14K3LCTmhPz8efqgHo0TB851jl
WjUBvfq3ffvVFPLP6a2I8ymfxGuPoXeP8J4vweMX0L8ZxHaPwNkkGBuhubSI
x/p/+SvV/ebbqheMdVMO8NpvVBt85nEwVgvG7iJ+szMWs2+oHsfkHDPuGXXm
/mbmfOyQPjFzTRtnpwRnJ4SehfR7XM3fV8N8/Ovsa7r9aJ7oTZEH8Jw/5uwk
+CLG2G9enNWzZeoaNK1T70cmWStq2ibViJyw+fNVyBWgDS+/qrqgPX2IpwY/
/kyNgJlx8oHQq39H/DW9cbOahr5RzWIKfE3jmC/x8yu858uyVeox4rFpHDeF
OG8CvI7CVw794ldq4K23VfcKWjvwmjq//HvqzNLvqpPgrAmMNSx/Rd1e9opm
rNqLMVu9zJzXWG/UZ3nPKbl/nu9+U9wv7DNteaZNy4izwynGunw0L8+xhtu6
/e5p30k5J+3/RWPpXEOjei3rGXN2QXB2lTgrVM+xpmM1qqV1INdjv0nrRGjN
5X30fTM0p/3N36pu+NEJ5AVT4Onf1xTUo6p1agbMTZWvVl8g1v8S+vUVrbHD
e76Cr/yC1g9/+JF6hJh/EjH/GI5/+PwLahBxf/9v3lQXwVjdsv+hzoKzJtxX
4+Jl6t5LS9UtWBJj7C/j1jaZWibzTHM/A1/OzL4xtUzmmRz/E2NH8JMYO+7J
chIPSTFWlrEG5szmO3mvQ+Ls7He/F2naWcHZ5VnOlqnrBmu0JxmxRnv69NN+
Pxu2qiHknTRfox0+ruu376g++NCH8H09+H0QsdUgcoRBxG5jxB1ySfKP09Cv
mU8+U4+JL2jgI7x/8r331TjeP4rjhsHq8M+eV4NgrP7l76tL4KwHutb1yquq
ffkK1QIda1r2smpY+rK6V75m3pomsx4r80vbOKYrLiPGpM+Ua0u4zu/rX8jM
MQDTZzJjzNmhQD3LWqMN8b1stwzOGnTb89767DvPQc/OgCdijfKAc7A62Bxn
y/S6lOpoD7Livp7rZ1mj/S/6129Rgxu3qhYw0fEGtAy+ru+d36kh+NG/vAtu
iLGPELdBp/rx/378beC376op5BiPwOAUfOQEXh97+101imNHiDHoWNM/fFNd
AWP1YKwfcVkv4v9u+OcO+MtWMNYExu4jhjTnZc/uoSF0zOUv47TM3M9Azvfn
OWU2jXD1iWRM+kyOy46ST8XP49qOFfzH1fMaBwjVulu6/dh3Uowm67XULyfA
2GnKM2nsXNdoebzpIli7tGixqofRfA5aN8D7eEasRfHahmgvAmaNfGbr62+q
TlofB1b6wdI/gY1J6NUEWJsAVxR7jUO7xn7/oep97Q3VB43qATvd4GYEejgC
Tomz6yt+oFp/8i119eXn1CByzH6cp5feBy3rgJbROs9m8p9Lljtzy9l9G+X4
Ull8vYznZ7j2zJDzsKWe+faLS8uYMebsmLbawpN1YVfsnydfPtxd123GnFHb
St/JrB0XnJ0zOGM9I854D//oeSV6H0/SNJO1JmhOK8Vnr7+h2ih2Bx9fLV2G
mB7+ENo2jhxyDD51FL5xBPHXCPlH6Ncw+BoGX7zn4+Df/31kM9/7nhr50Y/U
CHLNAZyP9hml/Ww7oGPEWQsYe0AmarGuNcDzxpfK5uYyyjFz85kAppbZ1i+5
9MTFglkz49iMY3+pZbUWznyukYWxkPde0jnTFd2O0neaNY5T6NfTWs/Oz9Oz
xZGeXVuyzFinUtwTqjnirbjXYsuqyog1WsvbDN15AL1pB2+d4G36xV+rh/CT
w2Twiw/B1hDYGoJmDb1B9pYaAkcPIx17W/Xg2Ic//KEaBl//9MtfqulFi9TE
T3+qhp57TnV/5zuq49vfVp203wL4ap3Vsmrn3hmuuMx8tqZ8bpP5jBOblvFY
Ukj/0vt4PqM5ziQ5k1pW4+AsqS4Wel9pGKU2uiw4o+/u9bK5fZgkayZnlAdQ
fHZFxGc3HKxF+95VFS3ibXWluoc88D4x8MprqgMaNEm1CfAzCBsASwOkTYjj
yAZfJ3sDnL2pHsK6wM/YW++oCWjdJDTvT4jdaFx94sUX1SC4I846wVnbt76l
WmBN3/ymugcGZc3flzP2mbbnAcjnNfH6chtnvKYkpG84NpN55lEd+/tyFqo7
SZZW/y5q/b+pv68yH+A4jfc5NzmjPOCS8JvXBGfz96qdv18saRvtF3Wf8kDE
UFHcBGtHTNUJ5nrBE1kfxWTQOrJ++NUB/L/9pSWqAzYMBsegdcTZFPzrP2/e
oqa37YhqI1Tn6Eeu2U0+kzgDY82as7va7mjz1TLbsw5tWib3L5Bz/XksKZQz
ns9oatlhkWceJAbx2tHCk/FZWp9oyyWz6N9V3VbM2W3Bmek/a8HVcRjlm6fn
jTvNcUaa5nr+CfEW7X2teaM6QyPlgsgJW2CkaV3gqYPidx3D964o5o70swXX
7F8B3vCeEfjQSfA1jVhu+sOP1PTmrerRug3q0SefFWM08EqcdS4p+k2uYdz9
yU/UHWG3td3SZtMy21xG21imLS7juWQ8lhTa1zbGbFp2AOfeX+Y/Vzzuur6s
+tR4Z3/X7XRDcGbWONi3nKCxc6pp6FzgLI0/IS67IOIz4uymZs18nlPxuSR6
T3+9x+J9Yg3WDN76fvwPYO011QnroroEjOL4DmJx0Yuqk94DfsiG4EeptjH5
3gfq0Ucfwz6Jah+j8KUD0LJeMEq+tfXFxdG+8a49DCRjN4Xd0Ha1zD2X0ZVj
krnWx/lognzdrP/b4n/WsiOwvSnG7bPqnw93V3RbSU1jziRr5D9rSMu07zRz
TorRLuvaxlXYvOcd6r3U5/RN730dcbYcnCEPhPX+6MeR7+wg/0ljU8gZG3/1
YmRUC6OaRgfeR7E9Pa+iH6yNIi+lGsgwfOpD8q94Ty89x4L2rPr1YtUR5ZhP
Mubyl5Kx69quEW/afLSM/aVtLplPTCT/bhtjssVlxNk+8qWWa4RqT1bWbNes
1+10PUbTbuic4DhYOhHDmcwFGvR+iQ3lc8/vslm0L7FmjXxnG6ydfCisAXlB
J352RbZCddPPZSvA24ooXhuFno3RuBP8ZsdLSyMjX9lFuYWFMd+4n+djk0nG
rmirh13WZmMsac2Srx6Q+WoZM3Yo5vwh3OXhc6Wd0+MjF/X4nKylyXqa5Oyk
rqM9OcY5lwvc1KzNPiNYcNdgcNega6jkO1uproqfd3/+S9WOn+1LX571neQ3
iTXSNar5Uy1t9J3fqYn33o/Y6tR8tWhfacsrExkrs8/HYH8pGbsEu6jtAqyO
Xi+41yxxPSykjzjH5DzTrJcRZxSXkc8M4cy8bhbufI65pL+HHKeZNQ7Tfx4X
nJ1bMrcOpV5rGnF2Bf71Ksx85vm8Z1Mb3N3HcQ/A0y3wdfuFX6pWXV8la9fW
SVoVcbZC9SJGG4SvjMY2f/KzKNZnvuhZGMwX1/tt40rmfP8kxmwxGTPGnJ3X
dg52ll4rPLkmLqSPzPhf5pgc+0vGDgbqWYi2ZvG39J27rHWf47R6nV/d1t9v
3sec/OexGN9JrF0CX+w7b8FM1lx2B3xcf+EXquHXS9T9F5eoForhtUnWSNtY
1/qRgw69/oYa/dnz6gGtT6D8QzBm0zC5ZonnYdNnTBond9VjzT1YJGNntJ2G
nYKdpNcFB759ZPOZXMsgzshnUvy/h/jz4CyLn0yrexe0xlNbXdD+U9bTzFjt
CDg6Cjum6xs8LkD12gu6Zit9J89hM00yRmtd7j3/i8h3PtC1tPvgppHyRPjB
pl+TRhXrE2QdS4vG2tb9gx/hmGXWOMzHT/KYEtfITMZccT8zZo5jSn8pGTuh
7cbbb8+aTx+ZtQxZLzO1bFdCbSOPWMwV68cdU6fbheK0K4X5OYGNtVqqbQjf
SfMez4q5G2Y+QKzJOZOmXdbr99q09jFnNO7doseLojEjzVsT9K4Zekfa1vrS
EtW2eGmkbXF8xY1bmhomx5Qui3FysxZrMubah9Gc23Pc4Mw0F2esZeQzOS4z
GTtA+law++W8xjTT1tNO6Boia5r0n3Gske+k8YGTYg53tL4umrvxkqqH3dCs
8fwI02iNKP/eqjmTmmbjjZ/T2USxGMX84I4siS+TsSQ/6RpX4vnYoYyR1erx
I9n+ccwxdzbGbFpm48zUoLTcpWHUvBZr2uXC/JzAxVoN+pl8Z62o2Zo1DvKd
xBrnBDRuxZrD65Alc1LjGolNbeQPm2Etwpp0LNY2a8vnrRsx58OmZcyM+835
i7KG4dqvQM6H5ZprXN/YWDsCDSQ7DEtibJ/l/Flr+lnjOVPTzuq2Y//pYu0g
MSbyAdf8Wh4fIE2L5quSLoAvHi+V8ZTpT03WoviLYrZFi2d5axVmapiM97My
ZltX4tob26ZlzBjPUQzpJ+bssLZDsAOw/bB9MGbMxlmWGkUefJnHn9Xtwpp2
Xn9nqW0lazwvhvroqIjTXLmnrKeR0Z4K0r/x88fJGhYtfsKvUq2DeaO/s7ax
tYifpn7ZYjGO+W2MmTE/M2abh+GK++X6EbmGxByjDNUCWZM9aHC2R9tu2C7Y
3oLf2idfRvIcvzqtv3um/7xSmMtBL+v4mPvnCPq2RsRptrot+8/zz/88spuG
7sixU2LJfA5Jo2btLjGoNU3qm2TOxpfUMNv8Ho754xhz7b3uislYy5gxc06P
XAfn21fMGPtM6S8lYzu1heazPoz46J0Pi2d0+3Cdg2tqHJewpnHfUD+R/5S5
p03TzoAv6T9NztgaLcb11Tu4zh2w1ij0zfSpvozdKjypZXK9Eu+NkfQc1iTG
4taOHC6L3wvBfF0yFheXkZbtSJHP+jKWxJ3P+6kdpP+kdjyn410zVuN47TD6
95ClnsaadgqM2WI107/d07o1z6eac6pJ7yLeXoK+vTSPOZMx3jfWh7E4X8lx
f5K/tDFmrh0xa60ufbD119EExpiz7VSrLczXSp98Ng8/6+tjT+g2Yf95Rtc6
pK4xa5I3Yk3mBFRPoz1ejpOvxO+uvEDqzl3NkYzbzPpEFH8RU6SJgjkyXi/i
0jBfxuQaX6ll50V+ebas4omYTDJmzul3zRtL8keyn5gxF2c7cF1mzOTMNF/u
QrQs1Mee1O1D7cWxGrMm6x0mbzInOAy+eD0U6dp5PU5wUYwVXNfGPNzRfPGz
oZ/gyzTNGv28q5m1xfqhjNmeiWmLycy5iyGM2TiL859kNK4k52OYjLHP9OEs
L+6y+NjDOl7lWM3GmtQ25u0g+ppY2w/GZKwm90aYW38HjdN1XGKNa3I38f9Y
tgrz9S8yYlXzes1gS+5NYJtz7cNYUm7J+0bJfbBlDUPOGXNx5tNfrGM0hrlb
G40v7bQwtjuAM9u1kzjLo95Rq9ujVrfZSa1rMjeQrDFvx9//SO0AY3KcQOYF
FwRrV5bMr+OSERM38NOLrcK6eTqYpF9yraWM95NySlPDXIzZ9oySc3myMiY5
k1pGjLG/3KbNl7PQGkWe41b8e63+Dp7WbXdS+wau40rWyI7RXo+6z2SsFsca
1zxY24i52xS3lc3NDZExl8mW3E8liS9X/dU2lpQHY+Y+PnJfAh43Cu0z5uyg
NmJM5pisZVvx+tbAXDbU56UdszLff0R/5zhW4xyUde1M2dxanhraU7QwX9+O
6FjNxRr7UZ7bwePuNt2SMZdZyzfrrXF1V5+6mIz1Tb7MvJIZc+1JYM6vNuck
hvaVZGyXwZjpM6WeZWHDR/t8zh13zRrdRqcEa5yHUnsfBl9HYLx3BPcR83bU
wRrva8vr8aS23dRm0y3Jljl/x5evED8px5J4TRzz5WLMZ341z0kM7Svii2My
X8by1KNSad4h3S4ndNuxD6X2PUh7chfm8gOO23i8ises5Bgos0Z5KK3HM7Ut
Yu37z82yJn2h9ImSL1nPN2v6Nr7kc6J9fGTcWFISY6aWScZMznw0gvgyxzBN
xnbBdjrOnUWPSs3bYd1GkrV9YIxYk37UxhvHb8QazYus0XXc43pPK/ajdYI1
rnXc1PU10yeaOaOpXbKezzV9yVdaxljH5NxrOZ5E5lqPZJu/71qPFNdnuyz5
JXMmGdthOXeaOCqrnw1lmlnbCb52wU7r77BkLYk3itcOE2OUI2jWToh9IVnb
zDpuNO+7MKdbPn5RapeM8X3jfJMvG2Ou/Xt4nQjF/MwYzXtNO39f9plZ8+cc
k2J+ydj2gl9dLoS5Ur+fjD7bZvBVq7+jnIfKmM3Gm6y5cVxdY8RsNHbA+5BG
a9vp+RcGb1xjM9mK40vWwSRfPGeM971LYsz1PMK4PWJZx8x1IpKxkHUi/Lvk
zNSxzTj/JthGbWn6PO7aPufK6nPpWTyk1/t0ux0vzPlRZs3FG8fQ3JdsFLMd
XzI/botiN3qepx43uKSNmYvmFgXwJfe6lhpm7nvHsb6NMduzu3wYs83f5/oq
x1mhvsfFmNQx1rKF8Ht5MWY+Z+yAbq8DugZ0RPsJqW2SN1nflRon7Zjm7aTm
LXo2gc5BmTdpV7XWmWzZNMzGmEvDeC+fU8J8GHOtD49bI8L11bg+s/Xbfg/G
yGzHhjC3kLVb13PsDug2q9HtSW1LrNXoWJh5O67zfu4rqXHSZD8f13Ear2fh
eUVc96jX7En+pHb5aFhILGY+T9WHMY7HXIyx70vTZxz3xzHGPjMtH6GxVRbu
kp5JzKwd1e3KfpTanHmr1bkY65tkTnJn2mk9p4j0Sj47lvPRSwZ3zBuzJdcf
ufgKjfdZx1xzFeU6twMJOravYJ+7b/abrc9k/SItY3noUuj7zPf6Pvf6U/Tv
Ad1+1JasbZRjMW9cA2HeWBMkdyZ7J3UdgvJPW6xlm0MhdUvW8jnvcPFlq1mY
Y0hxzx4xx5JYw5IYY78X6qt4LIlsC9U2DM6IMTPPDOUsb72zXYOfM+x73Cdg
Yb9uQ2pPyqdqC3O+VPLGzLEmsHFfMoPUv6d1DurDFdt5gytmi2N8GecnaVgS
X6414ZxT8rpw29wd15wdn3bnOj/7S5lbMmNpOAuJ1/LIJ9Nq6HadP7Efpe+z
jTeTOal1bNSvnA/EcWXmjDbdsmmXnCtmmy/m4iuuxm+Lxcj2lM2ftyPj9zT6
sKswPyYjk4xtLIsfN0/LWFYdY76S/GQcczJu2F+Y86Mu3kzmKM7hfjyluSNt
onGD8zFxlhx/jGPLpl1ybyhXjG/y5RqrJA0z51K7dIzrqVti8swQzqSGmVrm
oxWh3KTNK33isLhrmddbBQ3ap9v3kG5vF3NkHMtJ9k5qfqjWwVolYy3Jk5w3
7WLL9mxxyZfUL85d5LNs4jTMxpiswZrxmPR5aeoBkrFNFsbifGYe40i+HGRl
zLyG7XorwQdrm4u3gzpm5jqTZI+Mxgt4DMHk6owwF1cu7eL4Pm78W+qX+Swb
qWHSTyatO7IxFtpvuwpzvjKUsVIzZzunbz4Zd76kv38Cn1cO26vb+0BhLlfY
JzSAc7Naw44V3D5Q7lfNsZZ8RqWpWzKv5XwjiS/bvFcZ67OOhTLGvi5Nv21P
YMyXszgfmhd3nE+mPVfoMZ+DtdUwyhN26FhYatxh0VdHhRF7h6guZmjUacGY
Ta/k/Hwztpf7osflkDa+mH/pJ+U+Y7zXmA9jaesOdKzML/NkLC/uXBrme64s
jJeBl5VgrQK2TfDGGndImGRvP9X9C3NjjC69sumW1C6ZyzJbSRpm8lUjGHNp
GM/Rl+vaZC01C2PMmVmPlZa3RoQeH+IjbczldX+UI6yBVcGqYVLjdgnu2PbS
+FNhrq4Vx5SpWzK2Z75kfO+K8W17V3NNLNRPUk4p509kqW3Z9MvUsriaapY+
9Dk+j1g/y33ajpO8rYNtgG00uIvYo9dojNODKcmVNPkcpLgYn+eJ2ebvJ+WT
cfG+jKWy1LbiGLOxm1eslTQOkDXWd10j5L7j3ke+dLXB23rN2ybYZuLvu99T
G2FH9L4dPKeDf/J8ItPYL8q6nKyZxMX4cmxSzq121cRc81nzrm2FMGY7Pg13
SflCHnz55JR56TTVQSpgBc1cAVxVwdZ//zm1AUY1Dtq347A2yZ1p8rmnJldJ
/pHrFBzjyzjftYeFa35OaJweV2cI1bKk77gPd75+Mq1uZvGPWXW6HJxQLYR4
qyQDY1XaKPek9aBHtNFag0PCiMWTmi9+fpvJlSu+l3UwZsv0j7uEPyff7uLL
xViW2lZcbJZXH/r2X5Kf9M0p0/BhOz4r41EMB77IKO88oO2gNuaOjWMtfnZD
HFtyT1cZ2+/VumWLv0z94rEjivOlhuXBmPy/LbfMmzHb8XnFdnE6nfZ8Wb4r
rtdZk1aDtz3giXLQfTRHRBiPX8n5+GwUb0ndMvmS493SN7r4smmYa85EVsYk
Z2Y9o5R1gbj+y4u5vO4tlHPXe01tkvrEJseDTH/I8TzP09lXVvFEXL/bqLEy
W3F8xflJyZxP+8S1gY+/LFVdIC9zxX++95zH9yfpejwGZXLE49hyXqHUKukP
JVesXXK+jswdbfmjLQbjuYVZ6lpJbRjCmKtdnyZjoffg+ix5M25jTzJkapRk
KoktM+4y43peB2lql8mXqVtp8kBfDnwYC/0uZ2XMt5bxNH1smnvYZ/g7zgld
PMWxxXGXub+O1C5bfG/ylZYxWxu42jQPxkrVh5xzupjLW4PS6HOae2Bu9pbN
H7eW46KSJ5MrGXfJ/Q6TfKM5fihjrzwYc/3Ndo28+zGJ8zTMhc75T8No3vos
jbnheF36PjaTJxlvsW036l42tuL4sXEXmlf6tIN5PZOLherHNOdN0jof9tMc
l9XHknEctd/gSLLE8ySiWGvRS9HYqNQsmieShq04Pxk6VyKEsVLklWnY8bme
62+m1uV1Xz73mvZ7wsyYtsewneCLbAtYI9tMP8sqnqhH+LDlE4v59EnIZw7x
lSFtmkdfmqyE9qeNuTxjgDy+J6xFNtslbCsYY9tAjBFz+neypNjKl7HQ71fe
jIVcr1SMZT1fWh+b9h5s7WOeY4fQI5vR3zfreR5k64kpMf9DWjX+xhbHnfzb
WhyXpR2SmHsW88pSMWa7p1Dm8roH273E6c4GPY+NbJ1gLMno/Wvx/rU8R4TG
72ksn15LwZZPO5ifMS4Wy9qWvpy7+CoFY77XjZsDnvc9mO1jY6xaz88lY1aS
TB6zThtxlYcOhMZja2gfmhxzylDOXX2ddGwp28XF3UJwTu8x6wpVmo81QoPW
CnaYH9Oq9Hy3UM7zZiwNA3n3p3nNEN/lG2fnxUeWmC6PGES+XqHnTeZ9D0mx
dsjnsPnkJM4XIq8018OFnM8nzs7CmO1efesmeXGeRQcWMta+6MgpQvTSdb28
432fa+bZNln7phR1k6Rz+H7GhYq1ab3zeUc9ZCE5D2Usr75JE39k+Ux51E1C
+8bWH3lqqetvtAcN7dNwOma8II97yKrpeTLm+92Oe18pNChN3cT3PujZincS
Yu08GZPPTOf9GuKuWercyedz5s1YmmPy1GWf+yhl3UQ+z27es8dSfEZ6Bobc
f9nG17mYMYM82jVNDGpe82kzlne7pD0uz7oJ34f5XGHbs3zMZ2HIPeT52Srm
s1SIrwsB41FZ2jePtki7z4pNk/P0/WnbJS8+ssZ1rvtwPbfnhmaKjZ+nIrWL
98zKeg9x7VsqxkKuGXqPefRLyDVL6WtDmMurLbLo+rOQU7oYS3NNm6YtVJvk
2S4hx7u0biFyyoXU9Cx96suYz+f0bZM4RvP2tWljgCz3kEfdJPQ+XO1bSk0P
+U7nEfOn1SxfRvPql1A9zuM+0sZ1eX3fnoX4JS/G8jhH1nZJc9zTYH0h5hHH
aXponJ3lHvLI1fOKC105TWib5HEfebRtyPttWrfQul7KNs3yPIi87sP3enH3
Vop4Lk2b5HUfecwjzhK/5OVrsz4PIk/GsrRjKbU0tE1KdR+hcd2zEr/k8TyI
pPjZ5/7y7JcsbfLXxnop5xG7zhH6WfPMKX1ZcvmjUvVL6P3ldR9Pg/W85pyE
3kfcZy3Vffj269P47sdd92+R9ac9l/hZqFvI47PkHFnu4z8S6yFal8d9yDx5
oXXd9/iFyDnMc/xHY93FXJ6MxX3WUut66PG2+1qIPllI1m0xXZp2ysJFXnFd
6NhG3rqex3c2r5zub4n1UtxLWuayznfP0rf/H10tmDU=
    "], {{0, 167}, {154, 0}}, {0,
     255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{154, 167},
  PlotRange->{{0, 154}, {0, 167}}]], "Output",
 CellChangeTimes->{3.731863279363613*^9},
 CellID->1023481848,ExpressionUUID->"46341240-804f-4466-8802-d365bee10059"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Tight half torus:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226507686158237`*^9, 3.622650770019752*^9}, {
  3.7318633719154234`*^9, 3.7318633724886885`*^9}},
 CellID->315406866,ExpressionUUID->"dfac72c7-e548-446c-b875-ead279001443"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"SphericalPlot3D", "[", 
  RowBox[{
   RowBox[{"Sin", "[", "u", "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0", ",", "Pi"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0", ",", "Pi"}], "}"}], ",", 
   RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.622415239007576*^9, 3.622415242330376*^9}, {
  3.622650761736577*^9, 3.6226507619393663`*^9}},
 CellID->1053556066,ExpressionUUID->"cd7a2704-2f79-49bd-8734-99df740bca02"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnflzFEmW53u6a2Z6zXbbusdsDrO2bbM1m20bs50+p7uru0rFTQFFVdFF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    "], {{0, 175}, {229, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{229, 175},
  PlotRange->{{0, 229}, {0, 175}}]], "Output",
 CellChangeTimes->{3.7318633861754837`*^9},
 CellID->1114131747,ExpressionUUID->"9da725a8-cdc9-4d15-afcc-c3bcd16e1db2"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Example 2: Grasshopper Component With One Real Parameter", "Section",
 CellChangeTimes->{{3.622416571847231*^9, 3.6224165886322927`*^9}, {
  3.7318704412464705`*^9, 3.731870447991363*^9}, {3.737136133834719*^9, 
  3.7371361381013412`*^9}},
 CellID->1302353636,ExpressionUUID->"5918e705-1b86-43f8-8a58-0a1a3e4caebc"],

Cell[CellGroupData[{

Cell["\<\
Evaluate this code to install a new \"Graphics3D1\" component in Grasshopper:\
\>", "Text",
 CellChangeTimes->{{3.6224122419387493`*^9, 3.6224122640114965`*^9}, {
   3.7318696221279345`*^9, 3.7318696225545716`*^9}, {3.7324660521128044`*^9, 
   3.732466054723172*^9}, 3.732466342695692*^9, 3.732467553442875*^9, {
   3.737137055531844*^9, 3.737137059468377*^9}},
 CellID->1416588112,ExpressionUUID->"af8f24a8-fa27-4df6-be80-356b10077210"],

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"PlotStringToRhinoMesh1", "[", 
     RowBox[{"expr_String", ",", " ", "x_Real"}], "]"}], ":=", 
    "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"ToExpression", "[", 
      RowBox[{
      "\"\<ToRhino@DiscretizeGraphics@\>\"", "<>", "expr", "<>", 
       "\"\<&\>\""}], "]"}], "[", "x", "]"}]}], ";"}], 
  "\[IndentingNewLine]"}], "\n", 
 RowBox[{"GHDeploy", "[", 
  RowBox[{
  "\"\<Graphics3D1\>\"", ",", " ", "PlotStringToRhinoMesh1", ",", " ", 
   "\[IndentingNewLine]", 
   RowBox[{"{", "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
      "\"\<Any\>\"", ",", " ", "\"\<Expr\>\"", ",", " ", "\"\<E\>\"", ",", 
       " ", "\"\<WL Expr containing # parameter that evaluates to a \
Graphics3D object\>\"", ",", " ", "Item"}], "}"}], ",", "\[IndentingNewLine]", 
     RowBox[{"{", 
      RowBox[{
      "\"\<Number\>\"", ",", " ", "\"\<Argument\>\"", ",", " ", "\"\<A\>\"", 
       ",", " ", "\"\<Argument that replaces # in the Expr input\>\"", ",", 
       " ", "Item"}], "}"}]}], "\[IndentingNewLine]", "}"}], ",", " ", 
   "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Mesh\>\"", ",", " ", "\"\<M\>\"", ",", 
      " ", "\"\<Mesh geometry\>\"", ",", " ", "Item"}], "}"}], "}"}], ",", 
   "\[IndentingNewLine]", 
   RowBox[{"Icon", "\[Rule]", 
    RowBox[{"Graphics3D", "[", 
     RowBox[{
      RowBox[{"Cuboid", "[", "]"}], ",", 
      RowBox[{"ImageSize", "\[Rule]", 
       RowBox[{"{", 
        RowBox[{"20", ",", "20"}], "}"}]}], ",", 
      RowBox[{"Boxed", "\[Rule]", "False"}]}], "]"}]}]}], 
  "\[IndentingNewLine]", "]"}]}], "Input",
 CellChangeTimes->{{3.6223980619296675`*^9, 3.6223981004275055`*^9}, {
  3.622399615260711*^9, 3.62239962271689*^9}, {3.6224130956615906`*^9, 
  3.6224131215721273`*^9}, {3.6224167088752575`*^9, 3.6224167132743726`*^9}, {
  3.6224167769828525`*^9, 3.6224167927378426`*^9}, {3.629212753858777*^9, 
  3.629212754404763*^9}, {3.731870500536384*^9, 3.731870502694455*^9}, {
  3.7324682427225604`*^9, 3.732468247287083*^9}, {3.7328805980075903`*^9, 
  3.732880624817274*^9}, {3.732880685842827*^9, 3.7328807153125772`*^9}, {
  3.7328811649923587`*^9, 3.7328811672884336`*^9}, {3.7367014554775867`*^9, 
  3.7367014564297943`*^9}, {3.7371384050194917`*^9, 3.73713840634603*^9}, {
  3.73713958710011*^9, 3.7371395893499146`*^9}, {3.737207795018866*^9, 
  3.7372078023142385`*^9}},
 CellLabel->"In[25]:=",
 CellID->1592687742,ExpressionUUID->"6a135ff1-5ad8-431b-b310-9b85bc372b8b"]
}, Open  ]],

Cell[TextData[{
 "If Grasshopper is not yet running, start it by executing Grasshopper in \
Rhino. If Grasshopper is already running, restart Rhino, evaluate \
WolframConnect, and restart Grasshopper to load the new component, which is \
in the Wolfram tab with a cube icon (",
 Cell[BoxData[
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJxTTMoPSmNiYGAo5gASQYnljkVFiZXBAkBOaF5xZnpeaopnXklqemqRRRIz
UFAEikHs/9hAPRLAqgAXAKpvyAv9f2clEAEZQMQABvjNAcoC1cA1oiFkc/BY
hx9BTED2HUkakfXicSqmRteQTLheIMNW2ZQBBvD4F6Kxc8VFeLgBRSpdsyAI
2RA0c+AakfUCGXC9eAwBkhCNQBOQ9QJVYmpHMwRuKfF64dohGiF6kSOXEr3I
wUVQL1riJF4vsmfxBDWmXkyNyCkEv15ceRZuAqb7gXqBNuKyFA1AUjjcGRB7
SSoH4CZA9BKvEc0QrJYCAFRx7gI=
     "], {{0, 20}, {20, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSizeRaw->{20, 20},
   PlotRange->{{0, 20}, {0, 20}}]],
  CellChangeTimes->{3.7318614101420507`*^9},ExpressionUUID->
  "fff78c66-b59f-4c55-ba0b-ed9c4f389dde"],
 ")."
}], "Text",
 CellChangeTimes->{{3.731928904786121*^9, 3.731928928620473*^9}, {
  3.732466018464877*^9, 3.7324660440023365`*^9}, {3.7324660791169224`*^9, 
  3.7324660825239625`*^9}, {3.732467577552087*^9, 3.7324675897553806`*^9}},
 CellID->2066703586,ExpressionUUID->"62c9ae68-a6e5-491a-b798-c3b10b3fbfb0"],

Cell[CellGroupData[{

Cell["Drag the \"Graphics3D1\" component to the canvas:", "Text",
 CellChangeTimes->{{3.7318617923192053`*^9, 3.7318618175415463`*^9}, 
   3.731861907200734*^9, 3.73192590338199*^9, {3.7371396006770487`*^9, 
   3.73713960278624*^9}},
 CellID->1686663324,ExpressionUUID->"6e6f368b-7a12-4a6e-a9fa-8b414b2d4136"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQdcFGf6x8n976JJzsS7qEGNLdYYC/aGCiiKokgREAVEAUFsKCpYscbe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    "], {{0, 351}, {301, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag[
   "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
    Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.5],
  ImageSizeRaw->{301, 351},
  PlotRange->{{0, 301}, {0, 351}}]], "Output",
 CellChangeTimes->{
  3.7318619254571247`*^9, 3.731925949185379*^9, 3.73247043721387*^9, {
   3.737139324272519*^9, 3.737139380254451*^9}},
 CellID->222145486,ExpressionUUID->"b4cbd366-9dab-4bfe-98b9-f93a9bf44834"]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[{
 "Connect a panel to the \[OpenCurlyDoubleQuote]E\[CloseCurlyDoubleQuote] \
input of the component and enter an expression that evaluates to a ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "8d584617-fd15-4835-83df-eef9acca2e27"],
 " object and contains hashes (#) in the positions of a parameter. Create a \
slider by double-clicking the canvas and entering, for example 0<0.<2 and \
connect the slider to the \[OpenCurlyDoubleQuote]A\[CloseCurlyDoubleQuote] \
input:"
}], "Text",
 CellChangeTimes->{{3.6224129533151073`*^9, 3.6224129887576027`*^9}, {
  3.6224138325534983`*^9, 3.622413858214512*^9}, {3.7318619697687283`*^9, 
  3.731861974022107*^9}, {3.7319261312471123`*^9, 3.7319262854069223`*^9}, {
  3.732467880761119*^9, 3.7324678829015207`*^9}, {3.7324704516529646`*^9, 
  3.7324704555744042`*^9}, {3.7371370251897726`*^9, 3.737137031671924*^9}, {
  3.7371395438254957`*^9, 3.737139557886117*^9}},
 CellID->2107026262,ExpressionUUID->"ee18d3cd-74dc-48be-a170-0e18e8b53c4b"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQl0FGW69/nu/UaYc49n/EZnRsd7ZbiODuKIKIsoIGvYAoSwJBAIa8KS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    "], {{0, 401}, {651, 0}}, {0, 
    255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag[
   "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
    Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.5],
  ImageSizeRaw->{651, 401},
  PlotRange->{{0, 651}, {0, 401}}]], "Output",
 CellChangeTimes->{
  3.7318689571987276`*^9, 3.731926067054915*^9, 3.732470541890087*^9, {
   3.737139498786078*^9, 3.737139530232472*^9}},
 CellID->231390302,ExpressionUUID->"026c9c58-e69f-45a8-9399-510e2d1de16a"]
}, Open  ]],

Cell[TextData[{
 "You should see the geometry described by the ",
 Cell[BoxData[
  ButtonBox["Graphics3D",
   BaseStyle->"Link"]], "InlineFormula",ExpressionUUID->
  "fa3fee2c-1edb-4110-ac2b-6aa6581b0539"],
 " expression in Rhino. Drag the slider to change the shape of the surface. \
Replace the expression in the input panel with one of the following to make a \
different surface."
}], "Text",
 CellChangeTimes->{{3.732013624098295*^9, 3.7320136852477846`*^9}, {
  3.7324674931797285`*^9, 3.7324674959917135`*^9}, {3.7371396227387896`*^9, 
  3.7371396394808636`*^9}},
 CellID->135384860,ExpressionUUID->"b1f67788-2f0d-44e0-aded-bc083467d575"],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Helix:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226524504632816`*^9, 3.6226524519140167`*^9}},
 CellID->1228159847,ExpressionUUID->"8833da89-0be2-4367-83b5-42ebb6fd65ba"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"ParametricPlot3D", "[", 
   RowBox[{
    RowBox[{"{", 
     RowBox[{
      RowBox[{"u", " ", 
       RowBox[{"Sin", "[", 
        RowBox[{"#", " ", "t"}], "]"}]}], ",", 
      RowBox[{"u", " ", 
       RowBox[{"Cos", "[", 
        RowBox[{"#", " ", "t"}], "]"}]}], ",", 
      RowBox[{"6", " ", "t"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"t", ",", "0", ",", "1"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", "0", ",", "1"}], "}"}], ",", 
    RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}], 
  " "}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"(*", " ", 
   RowBox[{"0", "<", "0", "<", "22."}], " ", "*)"}]}]}], "Input",
 CellChangeTimes->{{3.622652439824559*^9, 3.622652439824559*^9}, {
   3.6226525132818155`*^9, 3.622652517088069*^9}, 3.668183250202039*^9, 
   3.668184110693956*^9},
 CellID->69733565,ExpressionUUID->"be4145b8-6ad9-43b4-b44d-055cb1a0a624"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnUlTXUl2gCtsL7z0wu2NV46wl71weFGOjo52eGlXeNHt6FVb1Y0AgQCB
mGcEaEASIKEJNM8gQKACSWigBFXi/bD0Oe9l0knqTnnznMx8Vb044gney3vy
5HfPlPfe90/Hu3534q+++uqr3r+Ff37XMPifPT0Nw//7d/Cf33f2nmzpbG76
r86+5pbmnn8//tfwy48g50D+BuTBs3Vx487jquDrsqLGUDJ1Yc5pvLTxy+qT
9h5KHdPGNHUpMw8OWybpQ30s5ECxUNYGHOvmsiYc61ZEH1+8ltG/KAuUa8K1
btSMUOnIySyHLbM4KBsffPmtomPGxKutPi7zTjuezWddOODQh2Pd0vSJhdci
zFKvSRoLvuzhmo9x6EnJLEV+lSbUczePx+kTXGxAbWNbPWPnleM4OgdUx6qH
XKyMnkX08R1zqOxTxCeUiWvc5y9VLlYPzFL42CKfd4kNacf6OeVieWNSMUut
ZxIHP/XaIUunnzOzSSz4soULI75yMaoxKXXiyhH1seulduBkgZqRemU2bc/B
letY559lizI6+WSB2kYmB7a1A4d9bfX+uTFbRtciOlH6lqTjcPpH6vWoJ2a5
uKWeP/dxKPMwDvva6BoTs2pcjnVL80Mux+HMEzjmX3asEL6WeswydrBZC58x
h4JbLl1j8rU+xk5iJPQ5UVQfn7pS2Mj2vLW1F4cdONjgzp+5WSiqE/V6FZlz
CDuUXYd64pZyDE5uffhx23FDcVv0PCzDLbWunHyY+S7lOcE1d5vPLjW2iJsg
10CugFDp+lPkNu/9ZfjzkYfZ6IQ83AK5DnIVZA7kEsgFyUYs3NragFInF12z
xg+Vh2Vxm8TDZZDJ/2sQ4yBT8HoCZDTFd7joSunPY4nnFPyF0Fd99hqs+VUQ
5GEBZB7kHPx/Bn+CIA9nQMZARkAGQfpLsmHjP23mFouvKTMu1TlBpa/yD3PA
wGXkAAR5mAY5D7+fRl8BMi59xBDIAEgfSLcUTn2z7BXbOUY1rg0f1PqaPKB/
mAW5iH5BxowRkCEQ9BHDmo/o1ZjoTuGj3nyu2u+mvA6GovZImjP13G/D2i1i
XSHjxVUZLy5LHtA/nJUxA3OIAXhfH0gPyGmQTnydwUS9+1ydjbKMcNqA+pxA
HhZgTVW9qfMwo/EwKXlQOYQeMzrg8+2aKB7wtQ8WqOxVdNyifPiOO658qFwS
Y8UNrf8wZ/AwrfEwasQL5MH0D+0GH9x2sP18ks91GTeJj1B1ZJH5Zo27qNWa
C5KHWa3/cE7ycEbLJ838ocdgwYwb+DsKdrnsS+lzcQyKGJOmJ8d89XGRhaRY
oecOWbFC5yGJhbT6wzZ/5mKB8lhZn3Xhw9e5gHJTxgrTN5i9h6RaU7Fg5g1F
eCiim28WXO1q8xmbHMTn/OdhHWdBLml9B+UbsvIGnYUsDor2JoryESMLFOOY
fITqgSTlDapPPar1HPQ44YMFDkYobcy1Xmpsrhwk7z0qb9BrCjOHxH5DN0gX
yCmQDoL44KJzFiMU4+aNxx3P0/7uIwdJyiF1FvT9CvQLZq8hKXfwxUJRPjhq
VA4WbD9ThA9bnc36UtUTOguqx5DlE8yasozNuexMsZ5mr4K6RqWYa1IOYjuG
utZhpvFoX3rUgoUi68BtCxvGbNezSD1cho8YcxA9Z9BZGGo82ot2zRGSzqtY
fG+aTmV1LDLHWHMQM2cYkyxgvnAqhYOeX/+GRGcONmIbJ22+XCzYfsbkQ88Z
dBY6Eljod+QgT2dXm8XIQtK4MZ8Hvb/9vTgN0gHSCtKErxNYCKGzzXnFtYbU
LBSZZxkbUek5LXMGrCVOy2sZ/gRMKDn1r/8WhAUbRmJmwWWNQ+QgKk5gv0m/
1mkEYsOAjA+ufRCftWRM9V895iCDyAFIv6wrx4EBZKEvI1cIvReTNzZVvyEW
H57HBSW/o3JPoltjoeMX/2A1TlKdG4oF17XN8s0h68i8salycawnpoCBCZBR
EKoagnovhtLeaecYZ75Loa+LbkXHPgvrfwZkDGSQqK+Q9DeKa1J9+WAqvqh0
45jjFzqCX7iPfQdgAOPEEAELNu+34SOm2GPzeSofzjVvJbchf1wCuYe1pswZ
Qto0iQ/u61Jdx/bpwznn/QgYeCh9w01gYvjrX4leEJc8nEtvrhyEggUqHUw+
fPgEfP0E1v8xCPKgYsUd2WfI0q/I2Jx6c/ARAwtF+aAcW71GFhQPDyUPGCvw
Pr2BjFiRpl8sPtx2P9fFziH4p+JD/+xTWPOnBg/oG+421u7T++M//4u13j4Y
LitpfNiMHSv/trbX3/cc1vqZFMWDnjtgrLhZ4hoGVx05WbDhg8P+vuecdX7q
r5EFJUk8YKzA+zavFeTBxh5lbOjz/HPptVOyzx17lCzDGi9n8KByB4wVVwvw
QM2wL7sU1d2l1x4j+/r4K7jmUEMqeQiSxAPmDtXnPeTwwOUjOX2wD7uXnZvP
+SILSnQf8QCYuI+9J5A7eK+1ljvMZvDgS3fqHJWbM0o+uFh4AeuqJImJZ5p/
wL7kDZAr8t483/a0yYttdYmFgzSdqPlIGmcV1nhV48FkwuTB9A++GHZZryI6
xs5C2XnZjq14MLkowoOeP6jxOfigZo06xnBwUEanonNK+9sarOeawcNq41Ef
odcYjw0e5jX/wMFwlu4/VTY4uS/Cgi5pPsLkQdUXF0s8y8fG9qHiTwiGfeRd
WfNah/VcT2BirfGoj1Axw+QBnz+6ULAfVUZPn3W2qy1dmQrN/fNjDYeiuFhv
TPYTJg/Yn8R9buxHFe1PUnLMZRtXPYvavuj7fc0X1/3lobQCE8ePyBr8zvQR
KofAHsRteR0M7m1eJ+aBy3/7sL2tftw5S5FxdQ6q0nRU1ptqfDwDv/EU5AmI
ihnYl3rSeHT/4gYhDy7+OzQLZfTn5KPo5zdgvdNEZwJ9hPIPj4GJRyAPZI8S
a877kodbRDxQzD/LlrGzUGZOruNvNp8Ur060VeW7lnb5ul1sws8vmJAxQ/Gg
agz0D9izXpQ9ygWCZ4Vy+kof9aPt+nLNyXZ8XP+tlg6x1dohXp88JV63nxbb
bV1iC35+Bz9fwe+QDcWDihlmjaHvaS059Cd91VdcfISOVa5z2mo9JbZhzXc6
usXbjtNip6tPvO3uF29AXvcMiO3TfWKrs0e8ausUKw3N1biRVmPoPJTRM/Q5
62pLDv/tOlebOW0DC2/au6ocvO/qFR9g/T/0DYn3Q2Pi3eCY2BmeEG/h9Zv+
EbEBPGydAi7Aj6w1nTxSY+g1p8opbTkOzYIrH77ig+v4WXNSLHwAH7ALLHwP
a//9yITYnZgWHyfPiQ+T50HOia2BUbEzMCLewPu24f0vIX6sQuxI4+GOZT5Z
r70F/Rz0qQfl+GoemEdi/ogs7IFP2AcW9senxP7UBbF37qLYuzgv3k1fEDvw
/12Qj2OT4n3PoHgLfmQTfQR8PomH+5Y81HNvwVZP7r6Cy+d3TnVXY8Q7yA0O
fQPw8PnSvPhx/prYnb0qfli4Kfav3hB7M7PiE/iJ7/uHq/kF5pirTek82NiR
w+4+WSirJ6U/pJjnDuQCHyFn3Ifc4PPoGVEBH1ABn7AHPOxdAQauL4lP1xfF
wc3b4vPcgvhxekb8gHnF6X6xiTxk+Acf+mfZM6Z8pIzv8J2LYM6g/MIPg6Pi
M+QLFYgRFVj3PfANldv3ReX+Y5AnYu/aoti7fEV8mjgrdjHXBIZeneyU8aLV
mgeudYo9N3WZD7cOb2Ws+ATr+3l4XBxALNiDXAF9Q2XpXo2Fx89rcvehqCzc
EgcXLosfIdfcghwUWXj2pybxCPc2LHjwuU6hewtcbHDogLHiA5zne1AzfB6b
Ep9AKrMLogIxonLvUY2DZy9qAj6ignEDcogfgId33QPiFTCx2twmlptaxYNj
DeLesdo1tWpPK4QdY+ot+OSCQq93nb1it3cQYsWY+AT+oXL+kqhA3lhZvCsq
D5+JyvNVUXnxUlSW10TlEfz/xpI4uDhX5WEH84e2zkMezGvmbhF8h5GPteLo
LYSao6u932Fd0VVj4kDmkegDqr7h6YqorG6Kyvor+LkhKk+WRQVyyspMjQfs
QWxAPvniRJt4DjyYseJuY0uqnjHWWXk2jZ0FVz7eQh6J+xN7A5BHjk3KPBJy
yFvgGx5BnFhZF5WNLVHZfF1j4gnwcesO8DAr9oGH18AR9ioVD0n382bNgbKv
wLlWvn0c5xyz5rLZ0g41Y5/4BLnDj6OT4vPZmWo9eQBrfgCx4WB5XRwADweb
2+IAeDgA/3CArFyo8bANseYl+IeV5jbxTPKg3693R+5lldGV63wpa8OQfPhi
fQPO67eQT+72DolPUGvunzkr9s9frvad9hfviX2oLfbBJ+xD3NgHf7F/+4HY
hxp0D3uUwNArqFXXWjvEc6gxnkK9qfsGvF7uusNedxGbx7IWnHz4yL31Y+D+
wzbUCK+h7nzbPyx2gYldyBe/n78udqHG2IWac3fpvtgFn/Fx4ab4CPnmh/Ep
sQP5xkuINS9OtH/hGzCPvJOyt0nFRywslOWj6N99z28L1vQt+P0diBvvwUds
47726BmxPXFWvL80L95DPvEOfMK7y1fEDnCyAyy8GRoTW5A7rEGsWG5uO+Ib
8DqYu3Jfc5HhWlofbFCPmaer+beQrOP+A+5Ton940zMo3sB5/wZrB8gnNuHn
JuSZGyjDE2JrYlpsYZyA92yAT1lpqfkGxcLSsVrPQfkGqmvliqwTZW7KvRbf
LH5Tmh1OFlA2WjqqPWe8/gmvddkCX7EF610VqDu+GxwDGRWvIJasADPLkC88
gxjxpOFENW+oXh8HHCALqqZQviHUtbRl7crNAnKgpOjxKfkoMsY6Xv8G5/kG
rDPWjlUBf1EVWH+Ul/B6HfuQWEvAe5ED9AvVXiTI7WMNh3HijmQB79Wjutae
u84KzYIts5x1GO5VV6W5JmvAR03axVpLTVZBMG9cgd8vSxaegNwFDvRnyeH1
s9dA8L6sOcJ7szjWx2duausTqOdhc4wXsK41OSleNNcE+8+rJ2ryQsohC1hb
Vlk4fqTXYMYJvC/rosP3I3KykHQMLj44Wcjjo8wxcJ96pUnJSbHSrIvioK0W
IxQL3yILrYfPHFUsLGlxQn0Hqy3LIVjIs2tZXXyzkKW/zfGWYW1xP+rPcrLq
C1CeS0EW7n/bKO5JFlTfyawn0Dfo39Vto7P+u5AsUPCRxUKouRWdQ+05ca3V
PYijUssV0CcgB4/hp2JB70mrOHFTxgn1Xd2XHK6l5bQVd34aIws2c1DPFK1J
a1WeNv1Z7kGu8Lix9fDZkmbOoHzDdekb1Hd1z1jwYM6DI5774KxeWMjj4z7e
ayWvb1LPDkTBGkI9o1yxoHIGM05c0+KE+g5Wqnm48uGrz6RY8FnfcvhUZOCe
vL7pnmTgrrw396HBQlKcMH2D+g5WrnWKLTfN8wtZuZKLflxz059Pf1c+R1Jd
93ZbPlNSsWDGiSTfgN/VPVkgn6TSP42PGFhw0T8EC0p0n2D6Bew/4r7lTXnf
9lKOb1DfwZo1d865+Oo3ceULPuNNmtxJYUH3CypOLMg+5DzILD57VNYUKm9Q
38EaYh5Jx+Hgw2fu6Itv0346BzoLOg9JvmFGPot2CmQc5Az8brjxy35UCBao
7Zu3L8U9L042zDFNFpJ8w6KRN+j9BhUr8Dt5u2W/2hcLLvYpat/QLOTpzpKb
ZrCg+wa9F2nGCvxO3v7GFlJ9y9rLhQ193FAc2M6NIzfVWUjyDXqsUHXFjKwr
MFaMgOB3t6flQpR8+MhNFQu+Yh7lvPJsXeQ4Zs6g+wYzVuj9yLOyruiBWNFR
8HpaFz5C1JP15u+ybG1zHMWCzoPyDXm5w2Bj7fvbKXSOiQUXfUOzkMdFkeMm
+QYzVug8jGF9AT8HHHjI0j02Fij58F1LFrW1LrdTYkUSD5PAAvoHah4obO2L
haI6J/VHuDmwPU6arU3fkMTDWWBBxQtuHrj54K4jkvoIsbGQxwf2I83cQfFw
Af6m5w8cPBS1mysfvmtKHz0mChaS5Kr8Tqw52aO+DILXSM4l1Bcu+STlXGxs
7IuForkyBRvc/kflkjoP6B8UD6r/gL3qHgIefPSZfLNAqbcv22UJ+gc9XmD/
AfcupkEmQEZARmU/KhYWsuwcMwtl+fCdkygeVD9qVtYY57UeRJd2vX1sLKCY
exGcMZxzPnm1CzcLSpJ4UNdFmfubNnYOwUKenV1zGF/r46seTxv7qlZzYg6h
9rSmGmvXPzT8+jdWdq6XPlOMLBRhhIq5rPdcyfARbQk8cOvMwUIZnUOzkKc3
53HmNR8xo/mI08DDH3OYMPXj4oMzb/Tpq8uuUZ7O1MeZS/AR/cDCyQwebHtM
MbIQig2OnJcjhut5xDCwgD7ieEoe4WrrGFmg0jvPBtzzoOT5kowbY8AB+ogO
gwdftXgMLFCuqa84ZB6Lio9J4GAEpEeLG75q8VhZSNOXI4a76FRUb6uxcX8L
OBgE6QZp+PpXXuakX98WqhZ35SMUCy46Z31ePQ9iQeaZPcBCFzDRVKAGpWCh
rN6hWPChr4+5pOmtvo8Ve9szck+8D1joZGTCJka42ttHTpemb6wsZNn5uvw+
Vtz/uip9hLpG4hTw0EzIBMV9ETb29s1Clq4U9QrnXA6PI3mYl3vjuC+u7vXF
3iXugZ4gYILjHpkse4dmIU9f2894YQGOo+7tUzmE2hfH6yzxutsh3BuH37Vg
nlmSixDXsMSemxbR1TcL+FPnQX8egLpuZkrui/fKvfFGSyZ83zuXVo9T8sal
tz5+qB5GEg/6fX3TMm6Myb3xLnkPz7dQh+TpHKL/XMTeMeallLq6zMvkwbx3
B/c3JuX1t5hLDDXW7vnskdde/vff/yJR79j7TDH2mNKOxcVH0ljmc+fMe3dU
zNB9xKDBhJJ66jkWtXloFvJ0pT6W+bxalT+k8TAifQReq9+XwMR//OGXXq5t
414r37lc2WPZ2rhIf9J8DqF6vpQeLyYK8IAsoKRdw0/Jho+1mrow54UFDrbS
4k7e5/VnyOj3gev5pOJh1IgXvRoPOgu6UHHtmwWdCV1iZoHCxknPLzZjRZ5v
SGPB5l6forr7ZCGPj5hZSDpWEfvqvkHlkepaOuUbxplZyOMjpA2LsmHDRwzz
SDv/kvKG80beoOJEURY45uSrHndZryJsxMBClo1n5T6W2XOY0lhQPQfFguLA
ZMHXvDj5oBrP9B0+6xWXeSAL+nMI8V6+JBZ6DZ+QVUf4nhcVG5y9aK6clHoe
+n6FyhlwD6sfBJ8v1Yk/C9aTMcyrrO/gZMH8HVfNQnFOJO1VKL/QJzloByYU
C53M101Rr0/ImqXouBRsUM3BvFdrTGNB9wu//fofv7BvaDu6sKHXYDHNoYzv
oJyD2teezGDhfyQLeTaOmYWifMQ2hzw2qO2l7tkblzWlihHmXoQP+4bOv13Z
4K4hkmoW6mOo7zwYkXVEWRby+IidBVd9fPdNuWoW9RzrASNGUO9XZ/mO2FiI
YUzb41HVLOMyZ+hlZCGPj1hZKKJfDCwkSVk2lG/wyYI5N1/9aNe8IPR+io+a
ZUjrQYdgwcb+IVjI0y+0rVz5MP82EBkLHPbnYMEXG9zM6WwsfvONOP3LuFnI
YsN33VIkl6Dkw3dugjwkSaws5K1BSBZsdYuNBT12pHFByYaP+cXcb7TRLSQL
SULNR6iajIINH3spMbNAzUYs9XkZ3+GzfvDdiynDgisfsbAQ0xpk6WLqxb0X
Qj1mFhsxs5DFRmx6U+vl6xqtPD5iZSFrDUKzkMVGGf18cZA0R19sxODvQ+lt
w4ZvFvL04uDj58yCDRshWLB5PwUbMfrzmPRWEjsLFHyE2Fesx/6zYsFXrswx
fh4bIWNEvfaf0+YQWw/XhY9QTNjaNfY+U8w93Lxj+qxnXWrBkHZyvYfDlo1Q
LJi/42TDdY713H9OmkPWHkAMLCQJFR/UeWM995/T+IidBSo2fNQQHGyE6jX5
9IGUxynCR4h6ksKmMfQXuNngZI4r76DMOYr2n2NggZsN33Ep1l5pTP3nsnN0
jSuhcxRbHnzFz5D9Z8p1sWEjNAuhbGQj+nOHfLLINW7aPP7CQjEW8uwak41c
+PgLC+VY4LRpyHWpF/8XMwtZbJSpg0OxQDkP6nmG6LtQsJA3l3phwWUe1Cwk
fdYnG5x1xE8pjyuzJhwxgpMNnzVlveZxZeficsz/B67c8Gc=
    "], {{0, 185}, {132, 
    0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{132, 185},
  PlotRange->{{0, 132}, {0, 185}}]], "Output",
 CellChangeTimes->{3.731925186699151*^9},
 CellID->1633439340,ExpressionUUID->"ef40a9fc-d848-4d6a-a1a8-a4ccaa73b1e5"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Surface wave:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226515716404033`*^9, 3.6226515796116967`*^9}, 
   3.7319263144611664`*^9},
 CellID->1931527779,ExpressionUUID->"a56dead0-29fe-43c2-bb1c-a0d5ee985cea"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"Plot3D", "[", 
   RowBox[{
    RowBox[{"#", " ", 
     RowBox[{"x", "/", 
      RowBox[{"Exp", "[", 
       RowBox[{
        RowBox[{"x", "^", "2"}], "+", 
        RowBox[{"y", "^", "2"}]}], "]"}]}]}], ",", 
    RowBox[{"{", 
     RowBox[{"x", ",", 
      RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"y", ",", 
      RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", 
    RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}], 
  " "}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"(*", " ", 
   RowBox[{
    RowBox[{"-", "2"}], "<", "1.", "<", "2"}], " ", "*)"}]}]}], "Input",
 CellChangeTimes->{{3.622418787518659*^9, 3.622418787518659*^9}, {
   3.6226515881445684`*^9, 3.6226515939007177`*^9}, 3.668184112831156*^9},
 CellID->1824573601,ExpressionUUID->"deee7c21-b274-41ef-b456-603c669715c8"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnUl3HEdyx/VsH3zU2J65aHtaSPoyI1E+UNbIsufoJ18sjaSRHymZbC7Y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    "], {{0, 124}, {238, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{238, 124},
  PlotRange->{{0, 238}, {0, 124}}]], "Output",
 CellChangeTimes->{3.731925446301819*^9},
 CellID->1689516494,ExpressionUUID->"f4a56ab1-06bf-4e8c-b932-b712a9313eb8"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Spiral pavilion:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.622650448297984*^9, 3.6226504529465904`*^9}},
 CellID->1674934024,ExpressionUUID->"54ee98d2-a3d3-4319-b10e-0835200f9455"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{
  RowBox[{"SphericalPlot3D", "[", 
   RowBox[{
    RowBox[{
     RowBox[{"(", 
      RowBox[{"v", "/", "5"}], ")"}], "^", "#"}], ",", 
    RowBox[{"{", 
     RowBox[{"u", ",", 
      RowBox[{
       RowBox[{"-", "Pi"}], "/", "2"}], ",", 
      RowBox[{"Pi", "/", "2"}]}], "}"}], ",", 
    RowBox[{"{", 
     RowBox[{"v", ",", "0", ",", "5"}], "}"}], ",", 
    RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}], 
  " "}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"(*", " ", 
   RowBox[{"0", "<", "1", "<", "1."}], " ", "*)"}]}]}], "Input",
 CellChangeTimes->{{3.6224155061785536`*^9, 3.6224155061785536`*^9}, 
   3.62241715625136*^9, {3.6226515956634383`*^9, 3.622651596536999*^9}, {
   3.622651649309431*^9, 3.622651652039344*^9}, {3.6226518771236887`*^9, 
   3.622651886935522*^9}, 3.6681841151555557`*^9},
 CellID->1400496492,ExpressionUUID->"dfa40ea8-4a1d-4451-b09a-84b277f6f3f5"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnel7U0eaxfuZmQ8z32aep5d0J2SBBMgGSQhhM2YJhBCydEggC0lYDBhj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    "], {{0, 118}, {145, 
    0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{145, 118},
  PlotRange->{{0, 145}, {0, 118}}]], "Output",
 CellChangeTimes->{3.7319255594247236`*^9},
 CellID->1723769924,ExpressionUUID->"357b4f54-b823-4c3e-80de-8c5bfde88a9a"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Twisty marble:",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.6226504932083836`*^9, 3.622650503971901*^9}},
 CellID->1846714638,ExpressionUUID->"ba357438-1437-43e5-8b0b-741a5ee637a8"],

Cell[CellGroupData[{

Cell[BoxData[{
 RowBox[{"With", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"x", "=", "#"}], "}"}], ",", 
   RowBox[{"SphericalPlot3D", "[", 
    RowBox[{"1", ",", 
     RowBox[{"{", 
      RowBox[{"u", ",", "0", ",", "Pi"}], "}"}], ",", 
     RowBox[{"{", 
      RowBox[{"v", ",", "0", ",", 
       RowBox[{"2", " ", "Pi"}]}], "}"}], ",", 
     RowBox[{"RegionFunction", "\[Rule]", 
      RowBox[{"(", 
       RowBox[{
        RowBox[{
         RowBox[{"Sin", "[", 
          RowBox[{"x", " ", 
           RowBox[{"(", 
            RowBox[{"#4", "+", "#5"}], ")"}]}], "]"}], ">", "0"}], "&"}], 
       ")"}]}], ",", 
     RowBox[{"Mesh", "\[Rule]", "None"}]}], "]"}]}], 
  "]"}], "\[IndentingNewLine]", 
 RowBox[{
  RowBox[{"(*", " ", 
   RowBox[{"1", "<", "5", "<", "12"}], " ", "*)"}]}]}], "Input",
 CellChangeTimes->{{3.622416502928996*^9, 3.622416502928996*^9}, 
   3.622417296927146*^9, {3.622652104345565*^9, 3.622652122346926*^9}, 
   3.668184118915156*^9, 3.6681843443541007`*^9, 3.668184463014823*^9},
 CellID->151770775,ExpressionUUID->"5ac1a44a-5168-484e-b409-dfb9de4463fb"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztndlfVFm25+vT3Q/92O9VdW/V59P9WFW3+va9ZuUNQdMxNUdNrZxwCpBB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    "], {{0, 154}, {158, 0}}, {0, 
    255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{158, 154},
  PlotRange->{{0, 158}, {0, 154}}]], "Output",
 CellChangeTimes->{3.7319257318917427`*^9},
 CellID->1748326436,ExpressionUUID->"0da72332-e342-42b2-a421-a94b0aa86745"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["More About", "TutorialMoreAboutSection",
 CellID->23220180,ExpressionUUID->"b47af6f7-f08d-4998-bc4f-ceb31ec2ce6e"],

Cell["XXXX", "TutorialMoreAbout",
 CellID->1567025153,ExpressionUUID->"94dff44b-cba3-4954-87b9-5b5227dad59c"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Related Tutorials", "RelatedTutorialsSection",
 CellID->415694126,ExpressionUUID->"7e8ab6a9-4ee7-4c78-a3d6-aab3ff6e6b79"],

Cell[TextData[ButtonBox["How to Use the Wolfram Grasshopper Components",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/UsingWolframComponents"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->1609542,ExpressionUUID->"190f4986-aaeb-4b7d-a928-5cafa0273280"],

Cell[TextData[ButtonBox["Use NETLink to Examine and Create Objects in Rhino",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/ManualInteractionWithRhinoObjects"]], \
"RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->292544750,ExpressionUUID->"126c1414-947b-4485-83f0-a46bc725d0b2"],

Cell[TextData[ButtonBox["Operate on Wolfram Language Meshes Using Rhino",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/UsingRhinoMeshOperations"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->422280156,ExpressionUUID->"889cb5f2-a192-4321-a83f-78947c52a5bc"],

Cell[TextData[ButtonBox["Control a Parametric Surface in Rhino with a \
Manipulate Interface in Mathematica",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/InteractiveSurface"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->740172588,ExpressionUUID->"3590f99a-04f3-4257-b487-5c59453643c9"],

Cell[TextData[ButtonBox["Create Box Structures in Rhino with an Interface in \
Mathematica",
 BaseStyle->"Link",
 ButtonData->"paclet:RhinoLink/tutorial/BoxDesignWidget"]], "RelatedTutorials",\

 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->28768034,ExpressionUUID->"7c37d64c-233f-4858-9a21-7c2c5de6b1cb"],

Cell[TextData[ButtonBox["Make a Grasshopper Component that Makes NURBS \
Surfaces from U-V Point Grids",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/UVSurfaceComponent"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->1098419325,ExpressionUUID->"90879df5-d4a2-48a1-959b-6d154171e08c"],

Cell[TextData[ButtonBox["Make a Grasshopper Component that Covers a Surface \
of Revolution with Phyllotaxically-Arranged Points",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/SpiralPhyllotaxicSurfaceComponent"]], \
"RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->71800016,ExpressionUUID->"36694138-1595-46b9-9877-5f742ed45917"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Related Wolfram Education Group Courses", "TutorialRelatedLinksSection",
 CellID->415694148,ExpressionUUID->"92a64ed0-d12e-4d6f-b937-bc21aa50750b"],

Cell["XXXX", "TutorialRelatedLinks",
 CellID->415694149,ExpressionUUID->"bb5eb61f-cd91-4ad2-9a94-ef22252e16f2"]
}, Open  ]]
}, Open  ]]
},
Evaluator->"RhinoAttach",
WindowSize->{700, 770},
WindowMargins->{{Automatic, 265}, {Automatic, 0}},
FrontEndVersion->"11.3 for Mac OS X x86 (32-bit, 64-bit Kernel) (March 5, \
2018)",
StyleDefinitions->FrontEnd`FileName[{"Wolfram"}, "TutorialPageStyles.nb", 
  CharacterEncoding -> "UTF-8"]
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[558, 20, 671, 15, 24, "History",ExpressionUUID->"fb7db806-66d8-4faa-b92f-9608c9369c57",
 CellID->1247902091],
Cell[CellGroupData[{
Cell[1254, 39, 123, 1, 29, "CategorizationSection",ExpressionUUID->"7f753c93-c860-4aca-a106-1873468c5134",
 CellID->1122911449],
Cell[1380, 42, 136, 2, 70, "Categorization",ExpressionUUID->"c327696c-626a-4432-b633-334235759ba5",
 CellID->686433507],
Cell[1519, 46, 137, 2, 70, "Categorization",ExpressionUUID->"2e0fdbe5-9684-4a99-bff1-d736003246d4",
 CellID->605800465],
Cell[1659, 50, 134, 2, 70, "Categorization",ExpressionUUID->"54d280cb-357a-445c-8673-d1e528dd0925",
 CellID->468444828],
Cell[1796, 54, 207, 4, 70, "Categorization",ExpressionUUID->"58105ab9-3e5e-484e-ba1a-0c7ef6d10e77"]
}, Closed]],
Cell[CellGroupData[{
Cell[2040, 63, 111, 1, 19, "KeywordsSection",ExpressionUUID->"3440d41f-7457-4450-bbae-78973c61d6dd",
 CellID->1427428552],
Cell[2154, 66, 100, 1, 70, "Keywords",ExpressionUUID->"7b48ebae-838d-4152-8bdd-1f113b44d7dd",
 CellID->1251852827]
}, Closed]],
Cell[CellGroupData[{
Cell[2291, 72, 108, 1, 19, "DetailsSection",ExpressionUUID->"52b9ac0c-f778-4f77-ae62-f8389ef85b01",
 CellID->307771771],
Cell[2402, 75, 118, 2, 70, "Details",ExpressionUUID->"268a746c-f262-4c3b-9c49-0a6fbc0c5325",
 CellID->218895918],
Cell[2523, 79, 124, 2, 70, "Details",ExpressionUUID->"0a6621ac-5b8b-452e-87c9-6a45ec0cfcc6",
 CellID->350963985],
Cell[2650, 83, 121, 2, 70, "Details",ExpressionUUID->"65e74b69-3b44-49f4-9bcb-1633b2a50989",
 CellID->795871300],
Cell[2774, 87, 126, 2, 70, "Details",ExpressionUUID->"28a7e074-e884-4d9e-a3fb-8acbf6ab41a2",
 CellID->199739161],
Cell[2903, 91, 115, 2, 70, "Details",ExpressionUUID->"637fd9b8-2d68-4fac-9e10-88bf14f939e9",
 CellID->40625308],
Cell[3021, 95, 116, 2, 70, "Details",ExpressionUUID->"8e789e4d-13cc-4074-9f3e-3676b5fd5466",
 CellID->357121918],
Cell[3140, 99, 117, 2, 70, "Details",ExpressionUUID->"1617f440-9275-4d01-a393-af16250722c4",
 CellID->35949532],
Cell[3260, 103, 133, 2, 70, "Details",ExpressionUUID->"bcccda9e-bb0b-4d57-a91e-ef15eebed9ac",
 CellID->929432370],
Cell[3396, 107, 122, 2, 70, "Details",ExpressionUUID->"ba912cf4-3b6b-493e-a40b-5ad0a6706552",
 CellID->240026365]
}, Closed]],
Cell[CellGroupData[{
Cell[3555, 114, 178, 3, 133, "Title",ExpressionUUID->"fd21a825-05a6-4c86-a833-5d605819c007",
 CellID->509267359],
Cell[3736, 119, 510, 11, 43, "Text",ExpressionUUID->"68c2cf2b-cb11-4dad-88be-ac0f1f8964c9",
 CellID->1534169418],
Cell[CellGroupData[{
Cell[4271, 134, 217, 3, 43, "Section",ExpressionUUID->"a7722b83-aa0c-45d8-b736-b0826374e59f",
 CellID->1037075497],
Cell[4491, 139, 354, 7, 23, "Text",ExpressionUUID->"150b41bb-910d-44d9-8adc-603ffb1b5500",
 CellID->1361204418],
Cell[4848, 148, 121207, 1993, 120, "Text",ExpressionUUID->"dd37765f-004f-414d-975c-c72d2eb72db7",
 CellID->110807350],
Cell[CellGroupData[{
Cell[126080, 2145, 284, 5, 23, "Text",ExpressionUUID->"e48fb6a3-d2a8-4b03-8ba1-ca3bf30714b4",
 CellID->400292277],
Cell[126367, 2152, 35266, 582, 235, "Input",ExpressionUUID->"12a8618d-bc4e-4c1f-a331-61753d41e3c1",
 CellID->1912826041]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[161682, 2740, 411, 5, 43, "Section",ExpressionUUID->"79cc379c-27df-4f45-84ec-8c9c4ceac8f9",
 CellID->2069323749],
Cell[CellGroupData[{
Cell[162118, 2749, 1096, 21, 63, "Text",ExpressionUUID->"bf90ea42-2f3a-4a1d-9a46-dcb3bab09db6",
 CellID->1923253105],
Cell[163217, 2772, 1733, 40, 180, "Input",ExpressionUUID->"47ee88c2-618f-4dfd-987a-74a0116a3555",
 CellID->526918215]
}, Open  ]],
Cell[164965, 2815, 1596, 33, 62, "Text",ExpressionUUID->"2963d475-9300-4014-b1e5-b5e28454be15",
 CellID->1011844172],
Cell[CellGroupData[{
Cell[166586, 2852, 311, 4, 23, "Text",ExpressionUUID->"3fd43706-b4a5-425c-93c1-9ee29daf1c40",
 CellID->141998211],
Cell[166900, 2858, 18346, 306, 186, "Output",ExpressionUUID->"bc17f0de-d025-4d07-bff8-846c8b713017",
 CellID->14653557]
}, Open  ]],
Cell[CellGroupData[{
Cell[185283, 3169, 726, 13, 43, "Text",ExpressionUUID->"6f6a3690-af6a-41d8-b3a4-a5782ef76ae2",
 CellID->1278239429],
Cell[186012, 3184, 21384, 357, 186, "Output",ExpressionUUID->"2e4dc029-a86b-43b5-8919-ce3b8148b7f4",
 CellID->362596567]
}, Open  ]],
Cell[207411, 3544, 561, 11, 43, "Text",ExpressionUUID->"a5b5b604-97d2-4aca-bd02-66d431dfbb81",
 CellID->446770632],
Cell[CellGroupData[{
Cell[207997, 3559, 217, 3, 23, "Text",ExpressionUUID->"b29b59c4-b6b0-4b33-ad88-2354dad8f572",
 CellID->1271182112],
Cell[CellGroupData[{
Cell[208239, 3566, 516, 13, 27, "Input",ExpressionUUID->"14ef20b5-9036-4c63-b20a-efabd024f8ea",
 CellID->1590436028],
Cell[208758, 3581, 29742, 492, 211, "Output",ExpressionUUID->"0d4c3fa9-353d-4f55-a279-d38af622c4c8",
 CellID->729368387]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[238549, 4079, 214, 3, 23, "Text",ExpressionUUID->"f3a61b62-1477-4dd7-b929-148f6c47b7dc",
 CellID->657823233],
Cell[CellGroupData[{
Cell[238788, 4086, 693, 19, 47, "Input",ExpressionUUID->"a8473fab-815a-4423-9750-3931622235fb",
 CellID->789262275],
Cell[239484, 4107, 17615, 293, 178, "Output",ExpressionUUID->"b2890799-71c7-4e69-9af6-e80f9d9fe230",
 CellID->124568406]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[257148, 4406, 213, 3, 23, "Text",ExpressionUUID->"18cffa47-1e36-40bf-a2b5-9d8501bcd232",
 CellID->1972127464],
Cell[CellGroupData[{
Cell[257386, 4413, 1274, 36, 85, "Input",ExpressionUUID->"5b02ac4d-3a48-4e90-a505-b6c4f6e2c25f",
 CellID->1283679650],
Cell[258663, 4451, 32522, 537, 170, "Output",ExpressionUUID->"37e9092f-0686-49e1-9a9a-2110c32c4a5b",
 CellID->1183159788]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[291234, 4994, 216, 3, 23, "Text",ExpressionUUID->"64e3c874-55ec-44b9-a021-6dcc7fbd7836",
 CellID->1815469343],
Cell[CellGroupData[{
Cell[291475, 5001, 683, 17, 47, "Input",ExpressionUUID->"92f358f9-b7e9-4715-b3da-46969baa9a43",
 CellID->1145591225],
Cell[292161, 5020, 17543, 292, 190, "Output",ExpressionUUID->"d3265843-a97a-4d7b-be17-e209b9d34d03",
 CellID->1760823220]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[309753, 5318, 212, 3, 23, "Text",ExpressionUUID->"5a6b7bbc-2e6a-4fe3-8915-3b23a8528a05",
 CellID->1831202880],
Cell[CellGroupData[{
Cell[309990, 5325, 472, 11, 27, "Input",ExpressionUUID->"9d760d82-6bde-414c-850e-c76a4d1901ae",
 CellID->1438659003],
Cell[310465, 5338, 20213, 336, 177, "Output",ExpressionUUID->"46341240-804f-4466-8802-d365bee10059",
 CellID->1023481848]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[330727, 5680, 270, 4, 23, "Text",ExpressionUUID->"dfac72c7-e548-446c-b875-ead279001443",
 CellID->315406866],
Cell[CellGroupData[{
Cell[331022, 5688, 491, 11, 27, "Input",ExpressionUUID->"cd7a2704-2f79-49bd-8734-99df740bca02",
 CellID->1053556066],
Cell[331516, 5701, 21223, 352, 185, "Output",ExpressionUUID->"9da725a8-cdc9-4d15-afcc-c3bcd16e1db2",
 CellID->1114131747]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[352800, 6060, 321, 4, 43, "Section",ExpressionUUID->"5918e705-1b86-43f8-8a58-0a1a3e4caebc",
 CellID->1302353636],
Cell[CellGroupData[{
Cell[353146, 6068, 447, 7, 23, "Text",ExpressionUUID->"af8f24a8-fa27-4df6-be80-356b10077210",
 CellID->1416588112],
Cell[353596, 6077, 2571, 57, 275, "Input",ExpressionUUID->"6a135ff1-5ad8-431b-b310-9b85bc372b8b",
 CellID->1592687742]
}, Open  ]],
Cell[356182, 6137, 1364, 28, 62, "Text",ExpressionUUID->"62c9ae68-a6e5-491a-b798-c3b10b3fbfb0",
 CellID->2066703586],
Cell[CellGroupData[{
Cell[357571, 6169, 309, 4, 23, "Text",ExpressionUUID->"6e6f368b-7a12-4a6e-a9fa-8b414b2d4136",
 CellID->1686663324],
Cell[357883, 6175, 19952, 333, 186, "Output",ExpressionUUID->"b4cbd366-9dab-4bfe-98b9-f93a9bf44834",
 CellID->222145486]
}, Open  ]],
Cell[CellGroupData[{
Cell[377872, 6513, 1054, 18, 60, "Text",ExpressionUUID->"ee18d3cd-74dc-48be-a170-0e18e8b53c4b",
 CellID->2107026262],
Cell[378929, 6533, 28978, 482, 211, "Output",ExpressionUUID->"026c9c58-e69f-45a8-9399-510e2d1de16a",
 CellID->231390302]
}, Open  ]],
Cell[407922, 7018, 645, 13, 60, "Text",ExpressionUUID->"b1f67788-2f0d-44e0-aded-bc083467d575",
 CellID->135384860],
Cell[CellGroupData[{
Cell[408592, 7035, 209, 3, 23, "Text",ExpressionUUID->"8833da89-0be2-4367-83b5-42ebb6fd65ba",
 CellID->1228159847],
Cell[CellGroupData[{
Cell[408826, 7042, 916, 25, 47, "Input",ExpressionUUID->"be4145b8-6ad9-43b4-b44d-055cb1a0a624",
 CellID->69733565],
Cell[409745, 7069, 8810, 149, 195, "Output",ExpressionUUID->"ef40a9fc-d848-4d6a-a1a8-a4ccaa73b1e5",
 CellID->1633439340]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[418604, 7224, 244, 4, 23, "Text",ExpressionUUID->"a56dead0-29fe-43c2-bb1c-a0d5ee985cea",
 CellID->1931527779],
Cell[CellGroupData[{
Cell[418873, 7232, 848, 24, 47, "Input",ExpressionUUID->"deee7c21-b274-41ef-b456-603c669715c8",
 CellID->1824573601],
Cell[419724, 7258, 10851, 182, 134, "Output",ExpressionUUID->"f4a56ab1-06bf-4e8c-b932-b712a9313eb8",
 CellID->1689516494]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[430624, 7446, 217, 3, 23, "Text",ExpressionUUID->"54ee98d2-a3d3-4319-b10e-0835200f9455",
 CellID->1674934024],
Cell[CellGroupData[{
Cell[430866, 7453, 906, 23, 47, "Input",ExpressionUUID->"dfa40ea8-4a1d-4451-b09a-84b277f6f3f5",
 CellID->1400496492],
Cell[431775, 7478, 12537, 210, 128, "Output",ExpressionUUID->"357b4f54-b823-4c3e-80de-8c5bfde88a9a",
 CellID->1723769924]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[444361, 7694, 215, 3, 23, "Text",ExpressionUUID->"ba357438-1437-43e5-8b0b-741a5ee637a8",
 CellID->1846714638],
Cell[CellGroupData[{
Cell[444601, 7701, 1088, 29, 66, "Input",ExpressionUUID->"5ac1a44a-5168-484e-b409-dfb9de4463fb",
 CellID->151770775],
Cell[445692, 7732, 16368, 273, 164, "Output",ExpressionUUID->"0da72332-e342-42b2-a421-a94b0aa86745",
 CellID->1748326436]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[462121, 8012, 120, 1, 72, "TutorialMoreAboutSection",ExpressionUUID->"b47af6f7-f08d-4998-bc4f-ceb31ec2ce6e",
 CellID->23220180],
Cell[462244, 8015, 109, 1, 22, "TutorialMoreAbout",ExpressionUUID->"94dff44b-cba3-4954-87b9-5b5227dad59c",
 CellID->1567025153]
}, Open  ]],
Cell[CellGroupData[{
Cell[462390, 8021, 127, 1, 72, "RelatedTutorialsSection",ExpressionUUID->"7e8ab6a9-4ee7-4c78-a3d6-aab3ff6e6b79",
 CellID->415694126],
Cell[462520, 8024, 321, 5, 22, "RelatedTutorials",ExpressionUUID->"190f4986-aaeb-4b7d-a928-5cafa0273280",
 CellID->1609542],
Cell[462844, 8031, 341, 6, 22, "RelatedTutorials",ExpressionUUID->"126c1414-947b-4485-83f0-a46bc725d0b2",
 CellID->292544750],
Cell[463188, 8039, 326, 5, 22, "RelatedTutorials",ExpressionUUID->"889cb5f2-a192-4321-a83f-78947c52a5bc",
 CellID->422280156],
Cell[463517, 8046, 356, 6, 22, "RelatedTutorials",ExpressionUUID->"3590f99a-04f3-4257-b487-5c59453643c9",
 CellID->740172588],
Cell[463876, 8054, 334, 6, 22, "RelatedTutorials",ExpressionUUID->"7c37d64c-233f-4858-9a21-7c2c5de6b1cb",
 CellID->28768034],
Cell[464213, 8062, 352, 6, 22, "RelatedTutorials",ExpressionUUID->"90879df5-d4a2-48a1-959b-6d154171e08c",
 CellID->1098419325],
Cell[464568, 8070, 393, 7, 38, "RelatedTutorials",ExpressionUUID->"36694138-1595-46b9-9877-5f742ed45917",
 CellID->71800016]
}, Open  ]],
Cell[CellGroupData[{
Cell[464998, 8082, 153, 1, 72, "TutorialRelatedLinksSection",ExpressionUUID->"92a64ed0-d12e-4d6f-b937-bc21aa50750b",
 CellID->415694148],
Cell[465154, 8085, 111, 1, 22, "TutorialRelatedLinks",ExpressionUUID->"bb5eb61f-cd91-4ad2-9a94-ef22252e16f2",
 CellID->415694149]
}, Open  ]]
}, Open  ]]
}
]
*)

